Svetha Venkatesh | Academic Influence

Svetha Venkatesh's AcademicInfluence.com Rankings

Svetha Venkatesh

Computer Science

#2190

World Rank

#2279

Historical Rank

Artificial Intelligence

#400

World Rank

#407

Historical Rank

Machine Learning

#441

World Rank

#447

Historical Rank

Database

#1291

World Rank

#1362

Historical Rank

computer-science Degrees

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Computer Science

Svetha Venkatesh's Degrees

Bachelors Electrical and Electronics Engineering BITS Pilani
Masters Electrical and Electronics Engineering BITS Pilani
PhD Computer Science University of Melbourne

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Best Online PhD of Computer Science (Doctorates) 2024

Why Is Svetha Venkatesh Influential?

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According to Wikipedia, Svetha Venkatesh is one of the top 15 women in the world in Artificial Intelligence. She is Indian/Australian and is an Alfred Deakin Professor in the Faculty of Science, Engineering & Built Environments, in the Department of Pattern Recognition and Data Analytics at Deakin University, as well as a professor of computer science and director of the Centre for Pattern Recognition and Data Analytics at Deakin. She was elected a Fellow of the International Association of Pattern Recognition in 2004 for her contributions to the "formulation and extraction of semantics in multimedia data". She was also elected a Fellow of the Australian Academy of Technological Sciences and Engineering in 2006 and an ARC Laureate Fellow in June 2017. She was elected a Fellow of the Australian Academy of Science in May 2021.

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Svetha Venkatesh's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Video abstraction: A systematic review and classification (2007) (897)
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection (2019) (618)
Activity recognition and abnormality detection with the switching hidden semi-Markov model (2005) (600)
Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View (2016) (475)
Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model (2005) (364)
Policy Recognition in the Abstract Hidden Markov Model (2002) (314)
Predicting healthcare trajectories from medical records: A deep learning approach (2017) (306)
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression (2007) (259)
Joint learning and dictionary construction for pattern recognition (2008) (259)
How honeybees make grazing landings on flat surfaces (2000) (257)
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine (2016) (251)
Robot navigation inspired by principles of insect vision (1999) (220)
Face Recognition Using Kernel Ridge Regression (2007) (207)
Deepr: A Convolutional Net for Medical Records (2016) (192)
Affective and Content Analysis of Online Depression Communities (2014) (175)
Automatic genre identification for content-based video categorization (2000) (166)
New enhancements to cut, fade, and dissolve detection processes in video segmentation (2000) (156)
$\mathtt {Deepr}$: A Convolutional Net for Medical Records (2016) (147)
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos (2019) (144)
Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety (2019) (141)
Column Networks for Collective Classification (2016) (138)
Hierarchical Conditional Relation Networks for Video Question Answering (2020) (134)
Using multiple windows to track concept drift (2004) (132)
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM) (2015) (130)
On the classification of image features (1990) (130)
Recognizing and monitoring high-level behaviors in complex spatial environments (2003) (128)
Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments (2014) (121)
Efficient duration and hierarchical modeling for human activity recognition (2009) (115)
Computational Media Aesthetics: Finding Meaning Beautiful (2001) (114)
Improving Generalization and Stability of Generative Adversarial Networks (2019) (113)
Graph Transformation Policy Network for Chemical Reaction Prediction (2018) (111)
GraphDTA: Predicting drug-target binding affinity with graph neural networks. (2020) (108)
Video indexing and similarity retrieval by largest common subgraph detection using decision trees (2001) (105)
High Dimensional Bayesian Optimization using Dropout (2018) (105)
Nonnegative shared subspace learning and its application to social media retrieval (2010) (105)
Recognition of emergent human behaviour in a smart home: A data mining approach (2007) (99)
An energy feature detection scheme (1989) (99)
From Living Eyes to Seeing Machines (1997) (98)
Hierarchical recognition of intentional human gestures for sports video annotation (2002) (98)
Early jump-out corner detectors (1991) (94)
Bayesian Optimization for Adaptive Experimental Design: A Review (2020) (94)
Using dynamic time warping for online temporal fusion in multisensor systems (2008) (94)
Rapid Bayesian optimisation for synthesis of short polymer fiber materials (2017) (94)
Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model (2001) (93)
Learning Hierarchical Hidden Markov Models with General State Hierarchy (2004) (93)
A cooperative cache architecture in support of caching multimedia objects in MANETs (2002) (91)
Toward automatic extraction of expressive elements from motion pictures: tempo (2002) (91)
Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry (2014) (84)
Qualitative estimation of camera motion parameters from video sequences (1997) (84)
Insect inspired behaviours for the autonomous control of mobile robots (1996) (83)
Dynamic Threshold Determination by Local and Global Edge Evaluation (1995) (81)
High Dimensional Bayesian Optimization with Elastic Gaussian Process (2017) (80)
Combining image regions and human activity for indirect object recognition in indoor wide-angle views (2005) (79)
Detection of epileptic seizure based on entropy analysis of short-term EEG (2018) (79)
Bridging the semantic gap with computational media aesthetics (2003) (78)
Modeling Edges at Subpixel Accuracy Using the Local Energy Approach (1994) (76)
Insect-Inspired Robotic Homing (1999) (75)
Ordinal Boltzmann Machines for Collaborative Filtering (2009) (74)
A Smartphone-Based Obstacle Sensor for the Visually Impaired (2010) (73)
Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso (2015) (72)
Towards automatic extraction of expressive elements from motion pictures: tempo (2000) (71)
Differentially Private Random Forest with High Utility (2015) (69)
Scene extraction in motion pictures (2003) (67)
Recognition of human activity through hierarchical stochastic learning (2003) (66)
Efficient algorithms for subwindow search in object detection and localization (2009) (63)
Edge detection is a projection (1989) (61)
Affect computing in film through sound energy dynamics (2001) (59)
Online Context Recognition in Multisensor Systems using Dynamic Time Warping (2005) (59)
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis (2007) (59)
Multi-class Pattern Classification in Imbalanced Data (2010) (56)
Using Twitter to learn about the autism community (2015) (55)
Edge evaluation using necessary components (1992) (55)
Sensing and using social context (2008) (54)
Anomaly detection in large-scale data stream networks (2012) (54)
Mutliple camera coordination in a surveillance system (2003) (53)
Application of the DCT energy histogram for face recognition (2004) (53)
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning (2018) (53)
Extraction of social context and application to personal multimedia exploration (2006) (52)
Learning other Agents' Preferences in Multiagent Negotiation (1996) (52)
Dynamic privacy assessment in a smart house environment using multimodal sensing (2008) (51)
Novel approach to determining tempo and dramatic story sections in motion pictures (2000) (51)
Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model (2006) (50)
Stabilized sparse ordinal regression for medical risk stratification (2014) (50)
GraphDTA: prediction of drug–target binding affinity using graph convolutional networks (2019) (49)
Using linguistic and topic analysis to classify sub-groups of online depression communities (2015) (49)
Flickr hypergroups (2009) (48)
Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier (1999) (48)
A Study on Smoothing for Particle-Filtered 3D Human Body Tracking (2010) (47)
TOBY: early intervention in autism through technology (2013) (47)
Data-mining twitter and the autism spectrum disorder: A Pilot study (2014) (46)
Detecting indexical signs in film audio for scene interpretation (2001) (46)
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition (2017) (46)
An integrated framework for suicide risk prediction (2013) (45)
Efficient Algorithms for Robust Recovery of Images From Compressed Data (2012) (45)
A framework for feature extraction from hospital medical data with applications in risk prediction (2014) (44)
Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association (2006) (43)
Mixed-norm sparse representation for multi view face recognition (2015) (43)
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts (2014) (43)
Regularized nonnegative shared subspace learning (2011) (42)
Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise (2012) (42)
Identification and outcomes of clinical phenotypes in amyotrophic lateral sclerosis/motor neuron disease: Australian National Motor Neuron Disease observational cohort (2016) (42)
On catastrophic forgetting and mode collapse in Generative Adversarial Networks (2018) (42)
Horror film genre typing and scene labeling via audio analysis (2003) (41)
Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes (2013) (40)
Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data. (2014) (39)
Coupling machine learning with 3D bioprinting to fast track optimisation of extrusion printing (2021) (39)
A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression (2016) (39)
Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome (2019) (39)
Hyperparameter tuning for big data using Bayesian optimisation (2016) (38)
Hierarchical semi-Markov conditional random fields for deep recursive sequential data (2008) (38)
Compressive speech enhancement (2013) (38)
Improved fade and dissolve detection for reliable video segmentation (2000) (38)
Bridging the Semantic Gap in Content Management Systems (2002) (37)
High accuracy context recovery using clustering mechanisms (2009) (37)
Event extraction using behaviors of sentiment signals and burst structure in social media (2013) (37)
Improved subspace clustering via exploitation of spatial constraints (2012) (37)
Low-cost interactive active monocular range finder (1999) (35)
Mixed-Variate Restricted Boltzmann Machines (2014) (35)
Learning Graph Representation via Frequent Subgraphs (2018) (35)
Resource-aware Speculative Prefetching in Wireless Networks (2003) (35)
Pervasive multimedia for autism intervention (2012) (35)
Media computing : computational media aesthetics (2002) (34)
Virtual observers in a mobile surveillance system (2006) (34)
Dynamic Privacy in Public Surveillance (2009) (33)
Budgeted Batch Bayesian Optimization (2016) (33)
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine (2013) (33)
Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations (2005) (33)
Exploiting side information in locality preserving projection (2008) (32)
An innovative face image enhancement based on principle component analysis (2012) (32)
Automated film rhythm extraction for scene analysis (2001) (32)
IMCE: integrated media creation environment (2004) (32)
Tensor-Variate Restricted Boltzmann Machines (2015) (32)
Self-Attentive Associative Memory (2020) (32)
Estimation of the prevalence of adverse drug reactions from social media (2017) (32)
Dynamic Privacy in a Smart House Environment (2007) (31)
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs (2019) (31)
Object labelling from human action recognition (2003) (31)
Multiple task transfer learning with small sample sizes (2016) (31)
Towards Discovery of Influence and Personality Traits through Social Link Prediction (2021) (31)
Effective Anomaly Detection in Sensor Networks Data Streams (2009) (31)
Multi-modal emotive computing in a smart house environment (2007) (30)
Spatial Indexing for Video Databases (1996) (30)
Learning to Remember More with Less Memorization (2019) (29)
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold (2008) (29)
Graph Memory Networks for Molecular Activity Prediction (2018) (29)
Eventscapes: visualizing events over time with emotive facets (2011) (29)
Multi-objective Bayesian optimisation with preferences over objectives (2019) (29)
Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity (2004) (28)
Sparse Subspace Clustering via Group Sparse Coding (2013) (28)
Combining multiple tracking algorithms for improved general performance (2001) (28)
Classification and Pattern Discovery of Mood in Weblogs (2010) (28)
Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques (2000) (28)
Mood sensing from social media texts and its applications (2014) (28)
Discovering topic structures of a temporally evolving document corpus (2015) (27)
Study of shot length and motion as contributing factors to movie tempo (poster session) (2000) (27)
Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records (2016) (27)
Predicting drug–target binding affinity with graph neural networks (2020) (27)
Regret Bounds for Transfer Learning in Bayesian Optimisation (2017) (27)
Infrequent Item Mining in Multiple Data Streams (2007) (27)
A flexible transfer learning framework for Bayesian optimization with convergence guarantee (2019) (27)
Preference Networks: Probabilistic Models for Recommendation Systems (2007) (27)
Exploration Enhanced Expected Improvement for Bayesian Optimization (2018) (27)
Segmentation of intentional human gestures for sports video annotation (2004) (27)
Neural Stored-program Memory (2019) (27)
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition (2006) (27)
Overcoming data scarcity of Twitter: Using tweets as bootstrap with application to autism-related topic content analysis (2015) (27)
High level segmentation of instructional videos based on content density (2002) (26)
Detection of Dynamic Background Due to Swaying Movements From Motion Features (2015) (26)
Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset (2015) (26)
Distributed query processing for mobile surveillance (2007) (26)
Topic transition detection using hierarchical hidden Markov and semi-Markov models (2005) (26)
Energy-Based Localized Anomaly Detection in Video Surveillance (2017) (26)
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach (2013) (25)
Stable Bayesian optimization (2018) (25)
Human action segmentation via controlled use of missing data in HMMs (2004) (24)
Variational Memory Encoder-Decoder (2018) (24)
Use of log polar space for foveation and feature recognition (1997) (24)
Role of shot length in characterizing tempo and dramatic story sections in motion pictures (2000) (24)
On the automatic indexing of cricket using camera motion parameters (2002) (24)
Batch Bayesian optimization using multi-scale search (2020) (23)
Face Recognition via the Overlapping Energy Histogram (2007) (23)
Efficient Graph Matching for Video Indexing (1997) (23)
Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis (2014) (23)
Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature (2015) (23)
Using camera motion to identify types of American football plays (2003) (23)
A Framework for the design of privacy preserving pervasive healthcare (2009) (23)
Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning (2020) (23)
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine (2013) (23)
DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types (2019) (23)
A probabilistic approach to the anxious home for activity monitoring (2005) (22)
Filtering Bayesian optimization approach in weakly specified search space (2018) (22)
Video genre categorization using audio wavelet coefficients (2002) (22)
Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal (2017) (22)
Learning in imbalanced relational data (2008) (21)
Distributionally Robust Bayesian Quadrature Optimization (2020) (21)
A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources (2012) (21)
Incorporating Domain Knowledge with Video and Voice Data Analysis in News Broadcasts (2000) (21)
Kernel-based features for predicting population health indices from geocoded social media data (2017) (21)
Random Subspace Two-Dimensional PCA for Face Recognition (2007) (21)
TOBY play-pad application to teach children with ASD – A pilot trial (2013) (21)
Knowledge Graph Embedding with Multiple Relation Projections (2018) (21)
Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint (2018) (20)
Hyper-community detection in the blogosphere (2010) (20)
Recognising faces in unseen modes: A tensor based approach (2008) (20)
Prediction of Age, Sentiment, and Connectivity from Social Media Text (2011) (20)
Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records (2016) (20)
Extracting natural scales using fourier descriptors (1993) (20)
Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings (2015) (20)
On the Recognition of Abstract Markov Policies (2000) (20)
Situated event bootstrapping and capture guidance for automated home movie authoring (2005) (19)
Accelerating Experimental Design by Incorporating Experimenter Hunches (2018) (19)
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis (2013) (19)
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives (2019) (19)
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities (2013) (19)
On the automated interpretation and indexing of American Football (1999) (19)
A unified tensor framework for face recognition (2009) (19)
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation (2018) (19)
Privacy and the access of information in a smart house environment (2007) (19)
Determining dramatic intensification via flashing lights in movies (2001) (19)
Graph Classification via Deep Learning with Virtual Nodes (2017) (18)
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization (2018) (18)
Online audio background determination for complex audio environments (2007) (18)
Information-Theoretic Transfer Learning Framework for Bayesian Optimisation (2018) (18)
A Sentiment-Aware Approach to Community Formation in Social Media (2021) (18)
Flexible Transfer Learning Framework for Bayesian Optimisation (2016) (18)
Bayesian Optimization with Unknown Search Space (2019) (18)
The Hidden Permutation Model and Location-Based Activity Recognition (2008) (18)
Efficient and accurate set-based registration of time-separated aerial images (2015) (18)
A predictive framework for modeling healthcare data with evolving clinical interventions (2015) (18)
“You Tube and I Find”—Personalizing Multimedia Content Access (2008) (17)
Hierarchical monitoring of people's behaviors in complex environments using multiple cameras (2002) (17)
Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams (2014) (17)
Faster training of very deep networks via p-norm gates (2016) (17)
The epidemiology of hip fractures across western Victoria, Australia. (2018) (17)
Bayesian Optimization with Discrete Variables (2019) (17)
Distributional Reinforcement Learning via Moment Matching (2020) (17)
Detection of curved edges at subpixel accuracy using deformable models (1995) (17)
Investigation of a prefetch model for low bandwidth networks (1998) (16)
Attentional multilabel learning over graphs: a message passing approach (2018) (16)
Scalable Backdoor Detection in Neural Networks (2020) (16)
Stabilizing High-Dimensional Prediction Models Using Feature Graphs (2015) (16)
Temporal PDMs for gait classification (2002) (16)
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records (2018) (16)
Analysis of psycholinguistic processes and topics in online autism communities (2013) (16)
A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos (2021) (15)
Spatial Activity Recognition in a Smart Home Environment using a Chemotactic Model (2005) (15)
Application of computational media aesthetics methodology to extracting color semantics in film (2002) (15)
Automatic Labeling of Sports Video Using Umpire Gesture Recognition (2004) (15)
Bayesian Optimization in Weakly Specified Search Space (2017) (15)
Online Social Capital: Mood, Topical and Psycholinguistic Analysis (2021) (15)
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths (2008) (15)
Energy-based Models for Video Anomaly Detection (2017) (15)
Web search activity data accurately predict population chronic disease risk in the USA (2015) (15)
A context-sensitive device to help people with autism cope with anxiety (2011) (15)
New Bayesian-Optimization-Based Design of High-Strength 7xxx-Series Alloys from Recycled Aluminum (2018) (15)
Formation of a geometric pattern with a mobile wireless sensor network (2004) (15)
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment (2018) (15)
Clustering by Maximizing Mutual Information Across Views (2021) (15)
Differentially Private Multi-task Learning (2016) (14)
Affective, Linguistic and Topic Patterns in Online Autism Communities (2014) (14)
Using interaction signatures to find and label chairs and floors (2004) (14)
Collaborative filtering via sparse Markov random fields (2016) (14)
Consistency of the Health of the Nation Outcome Scales (HoNOS) at inpatient-to-community transition (2016) (14)
Geographic region, socioeconomic position and the utilisation of primary total joint replacement for hip or knee osteoarthritis across western Victoria: a cross-sectional multilevel study of the Australian Orthopaedic Association National Joint Replacement Registry (2017) (14)
Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach (2012) (14)
Cost-aware Multi-objective Bayesian optimisation (2019) (14)
Learning Latent Activities from Social Signals with Hierarchical Dirichlet Processes (2014) (14)
Streaming Variational Inference for Dirichlet Process Mixtures (2015) (14)
Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features (2017) (14)
An efficient least common subgraph algorithm for video indexing (1998) (13)
Distributional Reinforcement Learning with Maximum Mean Discrepancy (2020) (13)
Recognising online spatial activities using a bioinformatics inspired sequence alignment approach (2008) (13)
Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data (2016) (13)
A Bayesian Nonparametric Approach for Multi-label Classification (2016) (13)
An insect-based approach to robotic homing (1998) (13)
Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects (2006) (13)
Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets (2018) (13)
A scrap-tolerant alloying concept based on high entropy alloys (2020) (13)
Classifying and detecting group behaviour from visual surveillance data (1998) (13)
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions (2004) (13)
Randomised controlled trial of an iPad based early intervention for autism: TOBY playpad study protocol (2016) (13)
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding (2018) (13)
Energy-based anomaly detection for mixed data (2018) (13)
Video sequence matching via decision tree path following (2001) (13)
Deep Learning to Attend to Risk in ICU (2017) (13)
Outlier Detection on Mixed-Type Data: An Energy-Based Approach (2016) (13)
Unsupervised context detection using wireless signals (2009) (13)
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning (2012) (12)
Dynamic Language Binding in Relational Visual Reasoning (2020) (12)
Computable social patterns from sparse sensor data (2008) (12)
Conditionally Dependent Dirichlet Processes for Modelling Naturally Correlated Data Sources (2013) (12)
A nonparametric Bayesian Poisson gamma model for count data (2012) (12)
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation (2020) (12)
Resolution consideration in spatially variant sensors (1996) (12)
Scalable Nonparametric Bayesian Multilevel Clustering (2016) (12)
Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data (2014) (12)
Using selective memory to track concept drift effectively (2003) (12)
Process-constrained batch Bayesian optimisation (2017) (12)
A Fast Extension for Sparse Representation on Robust Face Recognition (2010) (12)
Temporal data fusion in multisensor systems using dynamic time warping (2005) (12)
A matrix factorization framework for jointly analyzing multiple nonnegative data sources (2011) (12)
Cancer as a Tissue Anomaly: Classifying Tumor Transcriptomes Based Only on Healthy Data (2018) (11)
An extended frequent pattern tree for intertransaction association rule mining (2005) (11)
Neural Reasoning, Fast and Slow, for Video Question Answering (2019) (11)
Computational design of thermally stable and precipitation-hardened Al-Co-Cr-Fe-Ni-Ti high entropy alloys (2021) (11)
Automatic parameter selection for Eigenfaces (2004) (11)
Learning Deep Matrix Representations (2017) (11)
Ageing, Chronic Disease and Injury: A Study in Western Victoria (Australia) (2016) (11)
A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources (2011) (11)
A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data (2014) (11)
Finding the Beat: An Analysis of the Rhythmic Elements of Motion Pictures (2002) (11)
Formulating Film Tempo (2002) (11)
Performance modelling of speculative prefetching for compound requests in low bandwidth networks (2000) (11)
Human Action Recognition with an Incomplete Real-Time Pose Skeleton (2004) (10)
Unsupervised inference of significant locations from WiFi data for understanding human dynamics (2014) (10)
DeepCoDA: personalized interpretability for compositional health data (2020) (10)
Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering (2011) (10)
Cascade Bayesian Optimization (2016) (10)
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems (2016) (10)
Graph-induced restricted Boltzmann machines for document modeling (2016) (10)
CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features (2016) (10)
Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions (2017) (10)
Selecting Optimal Source for Transfer Learning in Bayesian Optimisation (2018) (10)
Automatic Scene Extraction in Motion Pictures (2003) (10)
A Framework for Coordination and Learning among Teams of Agents (1997) (10)
Learning sparse latent representation and distance metric for image retrieval (2013) (10)
Expected Hypervolume Improvement with Constraints (2018) (10)
Solving for X: Evidence for sex‐specific autism biomarkers across multiple transcriptomic studies (2018) (9)
Unified formulation of linear discriminant analysis methods and optimal parameter selection (2011) (9)
Exploiting Monge structures in optimum subwindow search (2010) (9)
THRESHOLD DYNAMIC TIME WARPING FOR SPATIAL ACTIVITY RECOGNITION (2007) (9)
Incorporating Expert Prior in Bayesian Optimisation via Space Warping (2020) (9)
Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition (2008) (9)
Stable Feature Selection with Support Vector Machines (2015) (9)
Low-cost interactive active range finder (2003) (9)
Analysing the History of Autism Spectrum Disorder Using Topic Models (2016) (9)
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems (2012) (9)
Constrained Sequence Classification for Lexical Disambiguation (2008) (9)
Learning People Movement Model from Multiple Cameras for Behaviour Recognition (2004) (9)
Tracking in a space variant active vision system (1996) (9)
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization (2021) (9)
Data clustering using side information dependent Chinese restaurant processes (2016) (8)
A New Representation of Successor Features for Transfer across Dissimilar Environments (2021) (8)
Resequencing of Video using Spatial Indexing (1997) (8)
A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare (2017) (8)
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering (2020) (8)
Exploiting side information in distance dependent Chinese restaurant processes for data clustering (2013) (8)
Improving the Tensile Properties of Wet Spun Silk Fibers Using Rapid Bayesian Algorithm. (2020) (8)
Layered dynamic probabilistic networks for spatio-temporal modelling (1999) (8)
Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection? (2016) (8)
Hypothesis Verification Using Parametric Models and Active Vision Strategies (1997) (8)
Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications (2019) (8)
An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments (2016) (8)
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities (2017) (8)
From Insects to Robots (1999) (8)
Insect based navigation and its applications to the autonomous control of mobile robots (1994) (8)
Performance Optimization Problem in Speculative Prefetching (2002) (8)
Nonparametric discovery of movement patterns from accelerometer signals (2016) (8)
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis (2014) (8)
Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues (2015) (8)
Exploiting feature relationships towards stable feature selection (2015) (8)
The Visitors Guide: A Simple Video Reuse Application (1997) (8)
Discovery of latent subcommunities in a blog's readership (2010) (8)
Multi-View Subspace Clustering for Face Images (2015) (8)
Optimizing a High-Entropy System: Software-Assisted Development of Highly Hydrophobic Surfaces using an Amphiphilic Polymer (2019) (8)
An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression (2002) (8)
Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media (2016) (8)
A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures (2005) (8)
Context aware privacy in visual surveillance (2008) (8)
Temporal semantic compression for video browsing (2008) (8)
Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks (2021) (8)
Learning to Reason with Relational Video Representation for Question Answering (2019) (8)
Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions (2014) (7)
The adaptable buffer algorithm for high quantile estimation in non-stationary data streams (2015) (7)
Learning Asynchronous and Sparse Human-Object Interaction in Videos (2021) (7)
The dissimilarity corner detector (1991) (7)
Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance (2015) (7)
A cross-cancer metastasis signature in the microRNA–mRNA axis of paired tissue samples (2018) (7)
Discovery of Activity Structures using the Hierarchical Hidden Markov Model (2005) (7)
Innovative sparse representation algorithms for robust face recognition (2011) (7)
A survey of shared memory systems (1994) (7)
An Embedded Suggestive Interface for Making Home Videos (2006) (7)
Privacy Aware K-Means Clustering with High Utility (2016) (7)
Stabilizing l1-norm prediction models by supervised feature grouping (2016) (7)
A Spectral Slit Approach to Doubletalk Detection (2012) (7)
MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data (2016) (7)
The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study (2018) (7)
Finding Algebraic Structure of Care in Time: A Deep Learning Approach (2017) (7)
An empirical study of neighbourhood decay in Kohonen's self organising map (1999) (7)
A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. (2016) (7)
A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition (2006) (7)
Hierarchical topical segmentation in instructional films based on cinematic expressive functions (2003) (7)
Face Recognition based on Ordinal Correlation Approach (2005) (7)
Stream Quantiles via Maximal Entropy Histograms (2014) (7)
Dual Control Memory Augmented Neural Networks for Treatment Recommendations (2018) (7)
A performance model of speculative prefetching in distributed information systems (1999) (7)
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes (2017) (7)
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices (2020) (7)
Face recognition based on ordinal correlation (2008) (7)
Individualized arrhythmia detection with ECG signals from wearable devices (2014) (7)
Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton (2004) (7)
Detection of Cross-Channel Anomalies from Multiple Data Channels (2011) (7)
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities (2017) (7)
Combining NL processing and video data to query American Football (1998) (6)
An Investigation into the Use of Physical Modeling for the Prediction of Various Feature Types Visible from Different Viewpoints (1995) (6)
Authoring Multimedia Authoring Tools (2004) (6)
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling (2020) (6)
Incomplete Conditional Density Estimation for Fast Materials Discovery (2019) (6)
A new transfer learning framework with application to model-agnostic multi-task learning (2016) (6)
Narrative structure analysis with education and training videos for e-learning (2002) (6)
Model-Based Episodic Memory Induces Dynamic Hybrid Controls (2021) (6)
Adaptive cost-aware Bayesian optimization (2021) (6)
A universal, scalable and governance-aware platform for smartphone-based digital phenotyping for research and clinical applications (Preprint) (2019) (6)
Pedestrian detection for mobile bus surveillance (2008) (6)
Matrix-centric Neural Networks (2017) (6)
Bayesian functional optimisation with shape prior (2018) (6)
Towards a Video Browser for the Digital Native (2012) (6)
A Privacy Preserving Bayesian Optimization with High Efficiency (2018) (6)
Generating comprehensible summaries of rushes sequences based on robust feature matching (2007) (6)
Prescriptive Analytics Through Constrained Bayesian Optimization (2018) (6)
Textual Cues for Online Depression in Community and Personal Settings (2016) (6)
Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records (2014) (6)
Persistent audio modelling for background determination (2005) (6)
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization (2019) (6)
Factored State-Abstract Hidden Markov Models for Activity Recognition Using Pervasive Multi-modal Sensors (2005) (6)
Learning Conditional Latent Structures from Multiple Data Sources (2015) (6)
Noetica: A Tool for Semantic Data Modelling (1998) (6)
Hybrid Generative-Discriminative Models for Inverse Materials Design (2018) (6)
Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious (2016) (6)
The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content (2018) (5)
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning (2020) (5)
Fixed-lag particle filter for continuous context discovery using Indian Buffet Process (2014) (5)
A Bayesian Nonparametric Approach to Multilevel Regression (2015) (5)
Identification of predictors and model for predicting prolonged length of stay in dengue patients (2021) (5)
Extraction of Film Takes for Cinematic Analysis (2005) (5)
Bayesian Optimization with Monotonicity Information (2017) (5)
One Size Fits Many: Column Bundle for Multi-X Learning (2017) (5)
Multi-modal abnormality detection in video with unknown data segmentation (2012) (5)
Social reader: following social networks in the wilds of the blogosphere (2009) (5)
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning (2019) (5)
Learning From Ordered Sets and Applications in Collaborative Ranking (2014) (5)
Predictive Variance Reduction Search (2017) (5)
Optimal Communication Among Team Members (1997) (5)
Efficient tensor based face recognition (2008) (5)
Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations (2019) (5)
Multi-task transfer learning for in-hospital-death prediction of ICU patients (2016) (5)
Representations and Processes in Decision Modelling (2002) (5)
Efficient Coxian Duration Modelling for Activity Recognition in Smart Environments with the Hidden semi-Markov Model (2005) (5)
Think Globally , Act Locally : a Local Strategy for Bayesian Optimization (2016) (5)
On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks (2021) (5)
A flexible receiver-driven cache replacement scheme for continuous media objects in best-effort networks (2001) (5)
Ridge Regression for Two Dimensional Locality Preserving Projection (2008) (5)
Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach (2016) (5)
Calibration of Audio-Video Sensors for Multi-Modal Event Indexing (2007) (5)
Learning to Abstract and Predict Human Actions (2020) (5)
Bridging the semantic gap in content management : computational media aesthetics (2001) (5)
Efficient subwindow search with submodular score functions (2011) (5)
Groupwise Registration of Aerial Images (2015) (5)
Film grammar based refinements to extracting scenes in motion pictures (2002) (5)
Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing (2020) (5)
Indexing narrative structure and semantics in motion pictures with a probabilistic framework (2003) (5)
Classifying and Learning Cricket Shots Using Camera Motion (1999) (5)
A cache-based mobility-aware scheme for real-time continuous media delivery in wireless networks (2001) (5)
Local energy and pre-envelope (1995) (5)
Learning Boltzmann Distance Metric for Face Recognition (2012) (5)
Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach (2015) (5)
Determining Affective Events Through Film Audio (2002) (5)
Human Activity Learning and Segmentation using Partially Hidden Discriminative Models (2014) (5)
Detecting deviations from known paths and speeds in a surveillance situation (1996) (5)
Effect of speculative prefetching on network load in distributed systems (2001) (5)
Scalable network-wide anomaly detection using compressed data (2009) (5)
Discriminative Cues for Different Stages of Smoking Cessation in Online Community (2016) (5)
Director in your pocket: holistic help for the hapless home videographer (2004) (5)
Weaving stories in digital media: when Spielberg makes home movies (2003) (5)
Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data (2016) (5)
Negotiating agents that learn about others' preferences (1996) (4)
DeepCoDA: personalized interpretability for compositional health (2020) (4)
Detection of cross-channel anomalies (2013) (4)
Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models (2014) (4)
Knowledge Distillation with Distribution Mismatch (2021) (4)
Change detection in dynamic communication networks (1999) (4)
Association between area-level socioeconomic status, accessibility and diabetes-related hospitalisations: a cross-sectional analysis of data from Western Victoria, Australia (2019) (4)
Choice by Elimination via Deep Neural Networks (2016) (4)
Linking Identities and Viewpoints in Home Movies Based on Robust Feature Matching (2007) (4)
Social reader: towards browsing the social web (2014) (4)
A random walk down personalized single-cell networks: predicting the response of any gene to any drug for any patient (2019) (4)
Explaining Black-Box Models Using Interpretable Surrogates (2019) (4)
Constructing and navigating personalised views of the Web (1999) (4)
Clustering Patient Medical Records via Sparse Subspace Representation (2013) (4)
High Dimensional Level Set Estimation with Bayesian Neural Network (2020) (4)
Using life's digital detritus to feed discovery. (2017) (4)
Computer assisted autism interventions for India (2016) (4)
Continuous discovery of co-location contexts from Bluetooth data (2015) (4)
Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning (2016) (4)
Sparse Spectrum Gaussian Process for Bayesian Optimisation (2019) (4)
Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records (2021) (4)
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs (2020) (4)
Effect of social capital on emotion, language style and latent topics in online depression community (2016) (4)
Fast One-Class Support Vector Machine for Novelty Detection (2015) (4)
Model-based character recognition in low resolution (2008) (4)
Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering (2007) (4)
Narrative structure detection through audio pace (2006) (4)
Speed up health research through topic modeling of coded clinical data (2014) (4)
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization (2022) (4)
Between context-aware media capture and multimedia content analysis: where do we find the promised land? (2004) (4)
Centering behavior for mobile robots using insect based cues (1995) (4)
Sparse Approximation for Gaussian Process with Derivative Observations (2018) (4)
Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes (2013) (4)
Bayesian Optimization with Missing Inputs (2020) (4)
Passenger monitoring in moving bus video (2008) (4)
Comparative evaluation of pedestrian detection methods for mobile bus surveillance (2009) (4)
Control Matching via Discharge Code Sequences (2016) (4)
Cognitive intervention in autism using multimedia stimulus (2011) (4)
Supplementary Material for Bayesian Nonparametric Multilevel Clustering with Contexts (2014) (4)
Differentially Private Prescriptive Analytics (2018) (4)
Media-independent knowledge representation via UMART: unified mental annotation and retrieval tool (1996) (3)
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers (2006) (3)
Discovering semantics from visualizations of film takes (2004) (3)
Semantic data modelling and visualisation using Noetica (2000) (3)
Achieving stable subspace clustering by post-processing generic clustering results (2016) (3)
Beyond the topological map : developing alternate mappings in self organisation (1999) (3)
Improving the classification of neuropsychiatric conditions using gene ontology terms as features (2018) (3)
Incremental learning with forgetting (1999) (3)
Coordination of multiple cameras to track multiple people (2002) (3)
Bayesian nonparametric Multiple Instance Regression (2016) (3)
Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model (2016) (3)
Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis (2012) (3)
Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support (2021) (3)
HealthMap: A visual platform for patient suicide risk review (2014) (3)
Efficient Bayesian Optimisation Using Derivative Meta-model (2018) (3)
Fairness improvement for black-box classifiers with Gaussian process (2021) (3)
Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework (2016) (3)
Identifying film takes for cinematic analysis (2003) (3)
Interactive browsing system for anomaly video surveillance (2013) (3)
Multilevel Anomaly Detection for Mixed Data (2016) (3)
Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification (2013) (3)
Information access and QoS issues in a mobile computing environment (1999) (3)
Conceptual Representation for Multimedia Information (1997) (3)
Stable clinical prediction using graph support vector machines (2016) (3)
Utility-Based Summarization of Home Videos (2007) (3)
Episodic Policy Gradient Training (2021) (3)
Dynamic shot suggestion filtering for home video based on user performance (2005) (3)
Relational dynamic memory networks (2018) (3)
Stabilising The Camera-To-Fixation Point Distance In Active Vision (1998) (3)
Machine-learning prediction of cancer survival: A prospective study examining the impact of combining clinical and genomic data. (2015) (3)
On the extraction of thematic and dramatic functions of content in educational videos (2003) (3)
Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints (2015) (3)
A novel information theoretic approach to wavelet feature selection for texture classification (2013) (3)
Using Natural Language and Video Data to Query and Learn American Football Plays (1999) (3)
Neighborhood coherence and edge based approaches to film scene extraction (2002) (3)
Preterm Birth Prediction: Deriving Stable and Interpretable Rules from High Dimensional Data (2016) (3)
Rapid similarity retrieval from image and video (2000) (3)
Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold (2011) (3)
Emotional Reactions to Real-World Events in Social Networks (2011) (3)
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network (2020) (3)
Dynamic-threshold determination by local and global edge evaluation (1993) (3)
Graph sequence matching by decision tree navigation (1999) (3)
Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach (2015) (3)
Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing. (2020) (3)
Towards Effective and Robust Neural Trojan Defenses via Input Filtering (2022) (3)
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces (2022) (3)
Dual-frame spatio-temporal feature modulation for video enhancement (2022) (3)
Verification of integrity of deployed deep learning models using Bayesian Optimization (2022) (3)
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation (2022) (3)
Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition (2020) (2)
Personalized Annotation-based Networks (PAN) for the Prediction of Breast Cancer Relapse (2019) (2)
Neurocoder: General-Purpose Computation Using Stored Neural Programs (2022) (2)
Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes (2016) (2)
A distributed directory scheme for information access in mobile computers (1996) (2)
Curtin at TRECVID 2006 Rushes Summarization (2006) (2)
Obtaining functional parametric models using active vision strategies (2001) (2)
Dirichlet Process Mixture Models with Pairwise Constraints for Data Clustering (2016) (2)
Topology + order = spatial relation (1994) (2)
Sparse Subspace Representation for Spectral Document Clustering (2012) (2)
Topic Model Kernel Classification with Probabilistically Reduced Features (2021) (2)
Academia versus social media: A psycho-linguistic analysis (2017) (2)
Learning distance-dependent motif interactions: an interpretable CNN model of genomic events (2020) (2)
Viewpoint distortion compensation in practical surveillance systems (2015) (2)
Large-Scale Stylistic Analysis of Formality in Academia and Social Media (2016) (2)
Fast exact cross-validation of least squares support vector machines (2005) (2)
Subpixel precision edge modelling using the generalised energy approach (1991) (2)
A fast kernel dimension reduction algorithm with applications to face recognition (2005) (2)
Model-based combined tracking and resolution enhancement (2008) (2)
Human saccadic eye movements and tracking by active foveation in log polar space (1996) (2)
Detection of setting and subject information in documentary video (1999) (2)
Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification (2010) (2)
Learning Theory of Mind via Dynamic Traits Attribution (2022) (2)
A chemotactic-based model for spatial activity recognition (2006) (2)
Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines (2015) (2)
Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation (2019) (2)
Finding the Optimal Temporal Partitioning of Video Sequences (2005) (2)
Curtin at TRECVID 2006 : shot boundary detection based and rushes summarization (2006) (2)
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces (2020) (2)
Face recognition via incremental 2DPCA (2007) (2)
Black-box Few-shot Knowledge Distillation (2022) (2)
Improved risk predictions via sparse imputation of patient conditions in electronic medical records (2015) (2)
Forecasting Patient Outflow from Wards having No Real-Time Clinical Data (2016) (2)
Fast Conditional Network Compression Using Bayesian HyperNetworks (2022) (2)
Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web (2018) (2)
Visual Object Clustering via Mixed-Norm Regularization (2015) (2)
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization (2020) (2)
Power saving schemes for mobile computing environments (1996) (2)
Properties of local energy and separability of features (1992) (2)
Feature detection and recognition in active vision utilizing foveation in log polar space (1995) (2)
Situation Description Language (2002) (2)
Discovering latent affective dynamics among individuals in online mental health-related communities (2016) (2)
Correction to: Geographic region, socioeconomic position and the utilisation of primary total joint replacement for hip or knee osteoarthritis across western Victoria: a cross-sectional multilevel study of the Australian Orthopaedic Association National Joint Replacement Registry (2018) (2)
Situation Description Language Implementation (2002) (2)
Tree-based iterated local search for Markov random fields with applications in image analysis (2014) (2)
Adaptive speech enhancement with varying noise backgrounds (2008) (2)
Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions. (2020) (2)
Data Mining of Intervention for Children with Autism Spectrum Disorder (2016) (2)
Function directed geometric model-based active visual strategies (1993) (2)
Classifying complex human motion using point distribution models (2002) (2)
Neural Choice by Elimination via Highway Networks (2016) (2)
Constructing hierarchical abstraction for qualitative representations of space and time (1995) (2)
Fourteenth International Conference on Pattern Recognition, August 16-20, 1998, Convention and Exhibition Centre, Brisbane, Australia : proceedings (1998) (2)
Low level vision in insects, its application to robot navigation (1995) (2)
Tracking concept drift robustly (2001) (2)
Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems (2017) (2)
Media Computing (2002) (2)
Practical Batch Bayesian Optimization for Less Expensive Functions (2018) (2)
Taming the roving camera: a framework for creating professional home movies through narrative and cinesthetic elements (2004) (1)
Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data (2017) (1)
Variational Hyper-encoding Networks (2020) (1)
Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications (Preprint) (2019) (1)
Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds (2009) (1)
Injection, detection and repair of aesthetics in home movies (2005) (1)
Multi-Target Optimisation via Bayesian Optimisation and Linear Programming (2018) (1)
Hierarchic Representation for Spatial Knowledge (1993) (1)
Applications of machine learning to dynamic scene analysis (1999) (1)
Interactively browsing movies in terms of action, foreshadowing and resolution (2010) (1)
Adaptive mpeg filtering for mobile computing environment (1999) (1)
Accelerated Bayesian Optimisation through Weight-Prior Tuning (2020) (1)
The epidemiology of emergency presentations for falls across Western Victoria, Australia. (2019) (1)
An application of "agent-oriented" techniques to symbolic matching and object recognition (2002) (1)
Optimal metric selection for improved multi-pose face recognition with group information (2012) (1)
Automatic isolation of speech in news footage for audio event detection (1999) (1)
Intervention-Driven Predictive Framework for Modeling Healthcare Data (2014) (1)
A Generalised Cost-Aware Caching Scheme for Caching Continuous Media Objects in Best-Effort Network Environments (2002) (1)
Large Sample Asymptotic for Nonparametric Mixture Model with Count Data (2015) (1)
Targeted Universal Adversarial Perturbations for Automatic Speech Recognition (2021) (1)
Kernel Pre-Training in Feature Space via m-Kernels (2018) (1)
Fast cross-validation of kernel Fisher discriminant classifiers (2005) (1)
The Future Proofing Study: Design, methods and baseline characteristics of a prospective cohort study of the mental health of Australian adolescents. (2022) (1)
Learning to Transfer Role Assignment Across Team Sizes (2022) (1)
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets (2021) (1)
Defense Against Multi-target Trojan Attacks (2022) (1)
Boosted Markov Networks for Activity Recognition (2014) (1)
Solving for X: evidence for sex-specific autism biomarkers across multiple transcriptomic studies (2018) (1)
Funniest thing i've seen since [href=//flic.kr/p/KGEGB]: shifting perspectives from multimedia artefacts to utterances (2012) (1)
Hierarchical Directory-Based Shared Memory Architecture (1995) (1)
Analysis of circadian rhythms from online communities of individuals with affective disorders (2014) (1)
Emerging hypothesis verification using function-based geometric models and active vision strategies (1994) (1)
What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships (2015) (1)
Browsing personal media archives with spatial context using panoramas (2006) (1)
MCMC for Hierarchical Semi-Markov Conditional Random Fields (2014) (1)
Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation (2006) (1)
Automatic parameters selection for eigenfaces (2006) (1)
Determining Motion Components Using the Point Distribution Model (2000) (1)
Automatically learning structural units in educational videos with the hierarchical hidden Markov models (2004) (1)
Unifying Background Models over Complex Audio using Entropy (2006) (1)
Utilization of Bayesian Optimization and KWN Modeling for Increased Efficiency of Al-Sc Precipitation Strengthening (2022) (1)
Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records (2015) (1)
On the incremental learning and recognition of the pattern of movement of multiple labelled objects in dynamic scenes (2000) (1)
Classifying Multiple Imbalanced Attributes in Relational Data (2009) (1)
Learning deep representation of multityped objects and tasks (2016) (1)
Stable Bayesian optimization (2018) (1)
Learning Multifaceted Latent Activities from Heterogeneous Mobile Data (2016) (1)
Boosting performance for 2D Linear Discriminant Analysis via regression (2008) (1)
Automatic Fitting of a Deformable Face Mask Using a Single Image (2009) (1)
Stabilizing Linear Prediction Models Using Autoencoder (2016) (1)
Schematics and 3d object interpretation using symbolic representation and distributed matching strategies (1999) (1)
Distance Exploration for Scalable Batch Bayesian Optimization (2017) (1)
Hierarchical Conditional Random Fields for Recursive Sequential Data (2008) (1)
A probabilistic framework for tracking in wide-area environments (2000) (1)
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms (2021) (1)
Discovering topic structures of a temporally evolving document corpus (2017) (1)
Film audio pace (2008) (1)
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient (2019) (1)
Bayesian Optimistic Optimisation with Exponentially Decaying Regret (2021) (1)
Multiple adverse effects prediction in longitudinal cancer treatment (2016) (1)
Machine Learning-Aided Exploration of Ultrahard Materials (2022) (1)
Permutation Models for Collaborative Ranking (2014) (1)
Landmark based representation of road maps and navigation plans (1994) (1)
A new transfer learning framework with application to model-agnostic multi-task learning (2016) (1)
Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data (2016) (1)
Indexing of video data (1994) (1)
A Simple Recursive Algorithm for calculating Expected Hypervolume Improvement (2016) (1)
A Model-based Approach for Combined Tracking and Resolution Enhancement of Faces in Low Resolution Video (2009) (1)
An application of concept drift tracking to average frame interpretation (2001) (1)
Spatial reasoning for intelligent navigation (1992) (1)
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation (2022) (1)
Learning Structured Outputs from Partial Labels using Forest Ensemble (2014) (1)
Detection of Compromised Models Using Bayesian Optimization (2019) (1)
Analysis of Environmental Sounds as Indexical Signs in Film (2001) (1)
The importance of neighbourhood size in self organising systems (1999) (1)
A Unified Formalism for Landmark-Based Representation of Maps and Navigation Plans (1991) (1)
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse (2021) (1)
Shape recognition in active vision using log polar transformation (1993) (1)
Level Set Estimation with Search Space Warping (2020) (1)
Multi-task transfer learning for in-hospital-death prediction of ICU patients (2016) (1)
Multiple task transfer learning with small sample sizes (2015) (1)
A unified 2D-3D video scene change detection framework for mobile camera platforms (2010) (1)
Structural identification and segmentation of topical content in educational videos (2005) (1)
Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning (2015) (1)
On the recognition of American football formations from images (2000) (1)
Guiding Visual Question Answering with Attention Priors (2022) (0)
Fast Model-based Policy Search for Universal Policy Networks (2022) (0)
A framework for feature extraction from hospital medical data with applications in risk prediction (2014) (0)
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Local energy, the pre-envelope, and filter resolution (1992) (0)
IBM Research Report Bridging the Semantic Gap in Content Management Systems (2002) (0)
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The epidemiology of emergency presentations for falls across Western Victoria, Australia. (2020) (0)
Detection of Narrative Structure for Annotation of News Broadcasts (2001) (0)
A preliminary genome-based study to characterize and measure the effects of human inbreeding (2001) (0)
Energy-based anomaly detection for mixed data (2018) (0)
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Prescriptive analytics with differential privacy (2021) (0)
Procede d'analyse de donnees (2005) (0)
Accelerated Bayesian Optimization throughWeight-Prior Tuning (2018) (0)
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A robust scheme for isolating and classifying visual features (1989) (0)
Distributed quad tree processing of vector data (1994) (0)
Maps for mobile agents : representing spatial knowledge (1993) (0)
Planning with spatial primitives (1993) (0)
Overview of a knowledge modelling tool : Noetica (1997) (0)
MrPC: Causal Structure Learning in Distributed Systems (2020) (0)
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Statistical Latent Space Approach for Mixed Data Modelling and Applications (2017) (0)
A Neural Model of RNA Splicing: Learning Motif Distances with Self-Attention and Toeplitz Max Pooling (2021) (0)
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SpatialActivity Recognition inaSmartHome Environment usinga Chemotactic Model (2005) (0)
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Probabilistic Models over Ordered Partitions with Application in Learning to Rank (2010) (0)
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Plug and Play, Model-Based Reinforcement Learning (2021) (0)
Data clustering using side information dependent Chinese restaurant processes (2015) (0)
Anomaly detection in large-scale data stream networks (2012) (0)
Persistent-Transient Duality in Human Behavior Modeling (2022) (0)
Machine Learning in Risk Prediction for Cardiac Surgery - An Emerging Trend? (2021) (0)
Performance analysis of information access in mobile computing environments (1997) (0)
Machine learning-based discovery of vibrationally stable materials (2023) (0)
Probabilistic querying at multiple levels of abstraction in large spatial domains (1999) (0)
Beyond epsilon science "Where to look and how to realize new opportunities" organizer and moderator (2011) (0)
Networking of multimedia women event beyond epsilon science: where to look and how to realize new opportunities (2011) (0)
Augmenting trust establishment in dynamic systems with social networks (2010) (0)
Mobile and Intelligent Sensing for Video Watermarking Using Spectral Centroid and Haar Wavelet Transformation on High Performace Computing (2021) (0)
Session details: Tutorials (2009) (0)
Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization (2017) (0)
Self-Assttentive Associative Memory (2020) (0)
08251 Summary - Contextual and Social Media Understanding and Usage (2008) (0)
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer (2021) (0)
Logically Consistent Loss for Visual Question Answering (2020) (0)
Input Clips CNN Features Clip Representation How many times eyes ? (2019) (0)
Event extraction using behaviors of sentiment signals and burst structure in social media (2012) (0)
The World has Changed - The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future (2020) (0)
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient (2021) (0)
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research (2021) (0)
Symbolic representation and distributed matching strategies for schematics (1999) (0)
IBM Research Report Formulating Film Tempo (2002) (0)
Efficient Bayesian Function Optimization of Evolving Material Manufacturing Processes (2019) (0)
Learning to Constrain Policy Optimization with Virtual Trust Region (2022) (0)
THE AGEING, CHRONIC DISEASE AND INJURY STUDY: EPIDEMIOLOGY OF HIP FRACTURES ACROSS WESTERN VICTORIA, AUSTRALIA (2016) (0)
Bayesian Nonparametric Approaches to Abnormality Detection in Video Surveillance (2015) (0)
Tree-based iterated local search for Markov random fields with applications in image analysis (2014) (0)
Improving Domain Generalization with Interpolation Robustness (2022) (0)
BO-Muse: A human expert and AI teaming framework for accelerated experimental design (2023) (0)
Towards detecting patterns of human behaviour from image sequences (1995) (0)
Real-Time Skill Discovery in Intelligent Virtual Assistants (2022) (0)
Artifacts of the colour coherence vector and an alternative similarity measure (2001) (0)
08251 Abstracts Collection - Contextual and Social Media Understanding and Usage (2008) (0)
Regularized nonnegative shared subspace learning (2011) (0)
Using natural language and video data to learn American football plays (1998) (0)
Media Impact (0)
Efficient CoxianDuration Modelling forActivity Recognition in SmartEnvironments withthe Hidden semi-MarkovModel (2005) (0)
Gradient Descent in Neural Networks as Sequential Learning in RKBS (2023) (0)
Covariance Function Pre-Training with m-Kernels for Accelerated Bayesian Optimisation. (2018) (0)
Correcting camera-to-foveation point distance using active vision strategies (1995) (0)
Semantic Host-free Trojan Attack (2021) (0)
Learning motion from optic flow (1996) (0)
Unsupervised Context Detection using Wireless (2009) (0)
LSTM LSTM LSTM Readmission Mortality Length of stay Next diseases Current treatments Diseases Treatments Diseases Treatments Diseases Treatments (2018) (0)
Implementing geometric hashing on the dec mpp 12000 (1993) (0)
Simd implementation of region based quad trees (1994) (0)
Indexing of multimedia data (1995) (0)
Filtering Bayesian optimization approach in weakly specified search space (2018) (0)
New Bayesian-Optimization-Based Design of High-Strength 7xxx-Series Alloys from Recycled Aluminum (2018) (0)
Learning about dynamic scenes. (2000) (0)
Uncertainty Aware System Identification with Universal Policies (2022) (0)
Curve reconstruction and segmentation using deformable models (1992) (0)
Gestion multimédia sociale (2008) (0)
Rapid Bayesian optimisation for synthesis of short polymer fiber materials (2017) (0)
Texture factorization : variant and invariant description (1990) (0)
Media independent knowledge indexing and retrieval (1996) (0)
Predicting object features due to specularity for a general purpose model based 3D object recognition system (1993) (0)
Expected Improvement for Contextual Bandits (2022) (0)
Clustering by Maximizing Mutual Information Across Views-Supplementary Material (2021) (0)
Session details: Workshops (2012) (0)
Detection of cross-channel anomalies (2012) (0)
Modelling multilevel data in multimedia: A hierarchical factor analysis approach (2016) (0)
Evolution in polyphonic musical sequences (2000) (0)
Multimedia Authoring: Human-Computer Partnership for Harvesting Metadata from the Right Sources (2005) (0)
An Immunological Approach to Raising Alarms in Video Surveillance (2004) (0)
Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach (2015) (0)
Extracting Common Subtrees from Decision Trees (1998) (0)
Analysing the correction of the camera-to-fixation point distance in active vision (1996) (0)
Neural Reasoning for Chemical-Chemical Interaction (2018) (0)
iPoll: Automatic Polling Using Online Search (2014) (0)
2 5 M ay 2 01 9 Neural Stored-programMemory (2019) (0)
Obtaining function models using active vision strategies (1999) (0)
General purpose viewpoint prediction algorithm (1991) (0)
Spatial reasoning via active observation (1995) (0)
An image processing approach to monitor crystal growth (1998) (0)
Geometric hashing on SIMD architectures (1995) (0)
SEE++ : an object-oriented class library for task-specific vision (1996) (0)
Bayesian Optimisation for Objective Functions with Varying Smoothness (2019) (0)
Learning Rank Functionals: An Empirical Study (2014) (0)
Learning image attributes for tracking complex objects (1997) (0)
Design of Compact Paper Counting Machine (2021) (0)
Supplementary material for “Scalable Nonparametric Bayesian Multilevel Clustering” (2016) (0)
On the determination of all useful object features for 3D objects using physical models (1992) (0)
Satisfying viewsphere requirements using raytracing and physical modelling techniques (1992) (0)
DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types (2020) (0)
Landmark based corridor discrimination (1996) (0)
Water Rocket Competition in Leerdam 2 (2015) (0)
Bayesian optimisation in unknown bounded search domains (2020) (0)
Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling (2021) (0)
Multiple Recommendation for Bayesian optimization via Multi-Scale Search (2016) (0)
Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models (2004) (0)
QOS Filtering for Video on Wireless Networks (1998) (0)
Portable form filling assistant for the visually impaired (2010) (0)
A new vector quantisation approach via self-organising map (2002) (0)
Generative Pseudo-Inverse Memory (2022) (0)
Contextual navigation in a multimedia journal (2008) (0)
Stable Bayesian Optimisation via Direct Stability Quantification (2019) (0)
A formal representation for qualitative spatial knowledge (1994) (0)
G ENERATIVE P SEUDO -I NVERSE M EMORY (2022) (0)
Stabilized sparse ordinal regression for medical risk stratification (2014) (0)
A bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations (2021) (0)
Prescriptive analytics with differential privacy (2021) (0)
Abstracts (1931) (0)
Memory-Augmented Theory of Mind Network (2023) (0)
An evading and hiding agent (1995) (0)
Human-AI Collaborative Bayesian Optimisation (2022) (0)
Composite tracking systems from complementary algorithms (1997) (0)
Toby (0)
Modelling multilevel data in multimedia: A hierarchical factor analysis approach (2014) (0)
Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions (2017) (0)
Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions (2022) (0)
Using Twitter to learn about the autism community (2015) (0)
Attentional multilabel learning over graphs: a message passing approach (2019) (0)
Zero-shot Sim2Real Adaptation Across Environments (2023) (0)
Predictive Model Based on Health Data Analysis for Risk of Readmission in Disease-Specific Cohorts. (2021) (0)
ADAPTIVE EXPERIMENTAL OPTIMISATION FOR SAMPLE-EFFICIENT ARMOUR DESIGN (2022) (0)
Kernel Functional Optimisation (2021) (0)
Dirichlet Process Mixture Models with Pairwise Constraints for Data Clustering (2016) (0)
Memory-Constrained Policy Optimization (2022) (0)
Using linguistic and topic analysis to classify sub-groups of online depression communities (2015) (0)
Local energy and multiresolution (1991) (0)
TRF: Learning Kernels with Tuned Random Features (2022) (0)

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