Nizar Bouguila
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Computer Science
Nizar Bouguila's Degrees
- PhD Computer Science Concordia University
- Masters Computer Science Concordia University
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(Suggest an Edit or Addition)Nizar Bouguila'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
- Unsupervised learning of a finite mixture model based on the Dirichlet distribution and its application (2004) (198)
- High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length (2007) (158)
- Unsupervised selection of a finite Dirichlet mixture model: an MML-based approach (2006) (134)
- A Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering (2009) (129)
- Variational Learning for Finite Dirichlet Mixture Models and Applications (2012) (116)
- Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation (2007) (113)
- Practical Bayesian estimation of a finite beta mixture through gibbs sampling and its applications (2006) (110)
- A fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data (2018) (104)
- A hybrid SEM algorithm for high-dimensional unsupervised learning using a finite generalized Dirichlet mixture (2006) (99)
- A study of spam filtering using support vector machines (2010) (92)
- Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions (2008) (90)
- Count Data Modeling and Classification Using Finite Mixtures of Distributions (2011) (88)
- A Dirichlet Process Mixture of Generalized Dirichlet Distributions for Proportional Data Modeling (2010) (86)
- A Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling (2007) (83)
- Positive vectors clustering using inverted Dirichlet finite mixture models (2012) (81)
- Hybrid Generative/Discriminative Approaches for Proportional Data Modeling and Classification (2012) (78)
- BLOCK-DBSCAN: Fast clustering for large scale data (2021) (75)
- Bayesian learning of finite generalized Gaussian mixture models on images (2011) (71)
- Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection (2019) (69)
- Bayesian hybrid generative discriminative learning based on finite Liouville mixture models (2011) (67)
- On Bayesian analysis of a finite generalized Dirichlet mixture via a Metropolis-within-Gibbs sampling (2009) (65)
- Finite asymmetric generalized Gaussian mixture models learning for infrared object detection (2013) (64)
- Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection (2013) (64)
- Automatic Inpainting Scheme for Video Text Detection and Removal (2013) (64)
- A Dirichlet process mixture of dirichlet distributions for classification and prediction (2008) (58)
- On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach (2021) (58)
- Image Text Detection Using a Bandlet-Based Edge Detector and Stroke Width Transform (2012) (58)
- Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization (2007) (57)
- Unsupervised Anomaly Intrusion Detection via Localized Bayesian Feature Selection (2011) (56)
- Bayesian learning of finite generalized inverted Dirichlet mixtures: Application to object classification and forgery detection (2014) (56)
- Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications (2005) (56)
- Improving content based image retrieval systems using finite multinomial dirichlet mixture (2004) (55)
- Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection (2010) (55)
- Spatial Color Image Databases Summarization (2007) (54)
- A powerful finite mixture model based on the generalized Dirichlet distribution: unsupervised learning and applications (2004) (54)
- Novel Mixtures Based on the Dirichlet Distribution: Application to Data and Image Classification (2003) (53)
- On Fitting Finite Dirichlet Mixture Using ECM and MML (2005) (52)
- Dirichlet-based probability model applied to human skin detection [image skin detection] (2004) (52)
- Online clustering via finite mixtures of Dirichlet and minimum message length (2006) (52)
- A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity (2009) (51)
- Bayesian learning of inverted Dirichlet mixtures for SVM kernels generation (2013) (51)
- Discrete data clustering using finite mixture models (2009) (50)
- Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data (2007) (49)
- Fast neighbor search by using revised k-d tree (2019) (49)
- Unsupervised Hybrid Feature Extraction Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference (2013) (48)
- A discrete mixture-based kernel for SVMs: Application to spam and image categorization (2009) (48)
- A countably infinite mixture model for clustering and feature selection (2012) (47)
- MML-Based Approach for Finite Dirichlet Mixture Estimation and Selection (2005) (47)
- Spatial color image segmentation based on finite non-Gaussian mixture models (2012) (46)
- Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection (2014) (46)
- Online Learning of a Dirichlet Process Mixture of Beta-Liouville Distributions Via Variational Inference (2013) (45)
- Trustworthy Web Service Selection Using Probabilistic Models (2012) (44)
- Robust simultaneous positive data clustering and unsupervised feature selection using generalized inverted Dirichlet mixture models (2014) (41)
- Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms (2017) (41)
- Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas (2016) (41)
- A fully Bayesian model based on reversible jump MCMC and finite Beta mixtures for clustering (2012) (40)
- Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models (2015) (36)
- Infinite Liouville mixture models with application to text and texture categorization (2012) (36)
- Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering (2016) (36)
- Model-based subspace clustering of non-Gaussian data (2010) (34)
- Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition (2019) (34)
- A finite mixture model for simultaneous high-dimensional clustering, localized feature selection and outlier rejection (2012) (33)
- Bayesian Learning of Generalized Gaussian Mixture Models on Biomedical Images (2010) (32)
- On multivariate binary data clustering and feature weighting (2010) (30)
- Unsupervised learning of finite mixtures using scaled dirichlet distribution and its application to software modules categorization (2017) (30)
- Probabilistic approach for QoS-aware recommender system for trustworthy web service selection (2014) (30)
- Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information (2018) (28)
- Trust and Reputation of Web Services Through QoS Correlation Lens (2016) (28)
- A novel statistical approach for clustering positive data based on finite inverted Beta-Liouville mixture models (2019) (27)
- Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification (2019) (26)
- A probabilistic approach for shadows modeling and detection (2005) (25)
- Learning Finite Beta-Liouville Mixture Models via Variational Bayes for Proportional Data Clustering (2013) (24)
- An empirical evaluation of attribute control charts for monitoring defects (2011) (23)
- Online Learning of Hierarchical Pitman–Yor Process Mixture of Generalized Dirichlet Distributions With Feature Selection (2017) (23)
- A Comparison Between Different Gaussian-Based Mixture Models (2017) (23)
- On Discrete Data Clustering (2008) (22)
- Software modules categorization through likelihood and bayesian analysis of finite dirichlet mixtures (2010) (22)
- Simultaneous Bayesian clustering and feature selection using RJMCMC-based learning of finite generalized Dirichlet mixture models (2013) (21)
- Learning Inverted Dirichlet Mixtures for Positive Data Clustering (2011) (21)
- Axially Symmetric Data Clustering Through Dirichlet Process Mixture Models of Watson Distributions (2019) (21)
- Variational learning of finite Dirichlet mixture models using component splitting (2014) (21)
- Online spam filtering using support vector machines (2009) (20)
- An Infinite Mixture of Inverted Dirichlet Distributions (2011) (20)
- Pre-run-time scheduling in real-time systems: Current researches and Artificial Intelligence perspectives (2014) (20)
- Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection (2019) (20)
- A QoS-Based Trust Approach for Service Selection and Composition via Bayesian Networks (2013) (20)
- Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM (2018) (19)
- A generative model for spatial color image databases categorization (2008) (19)
- Unsupervised learning of a finite gamma mixture using MML: application to SAR image analysis (2004) (19)
- On online high-dimensional spherical data clustering and feature selection (2013) (19)
- A Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling (2007) (19)
- Finite Gamma mixture modelling using minimum message length inference: application to SAR image analysis (2009) (19)
- Video Completion Using Bandlet Transform (2012) (19)
- Color image segmentation with bounded generalized Gaussian mixture model and feature selection (2018) (18)
- Bayesian inference framework for bounded generalized Gaussian‐based mixture model and its application to biomedical images classification (2020) (18)
- A Fixed-Point Estimation Algorithm for Learning the Multivariate GGMM: Application to Human Action Recognition (2018) (18)
- A Bayesian approach for software quality prediction (2008) (18)
- Online variational learning of finite Dirichlet mixture models (2012) (17)
- A Bayesian Method for Infrared Face Recognition (2011) (17)
- A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification (2015) (17)
- Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures (2019) (17)
- Quantization-free parameter space reduction in ellipse detection (2011) (17)
- A variational Bayes model for count data learning and classification (2014) (17)
- A novel approach for modeling positive vectors with inverted Dirichlet-based hidden Markov models (2020) (17)
- Variational Learning of Finite Inverted Dirichlet Mixture Models and Applications (2015) (16)
- A hierarchical Dirichlet process mixture of generalized Dirichlet distributions for feature selection (2015) (16)
- Expectation propagation learning of a Dirichlet process mixture of Beta-Liouville distributions for proportional data clustering (2015) (16)
- A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation (2011) (15)
- A Graphical Model for Content Based Image Suggestion and Feature Selection (2007) (15)
- Online variational learning of generalized Dirichlet mixture models with feature selection (2014) (15)
- A statistical framework for online learning using adjustable model selection criteria (2016) (15)
- Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications (2014) (15)
- Object clustering and recognition using multi-finite mixtures for semantic classes and hierarchy modeling (2014) (15)
- MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture (2005) (15)
- A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation (2019) (14)
- Hybrid Statistical Framework for Diabetic Retinopathy Detection (2018) (14)
- Estimating Occupancy Using Interactive Learning With a Sensor Environment: Real-Time Experiments (2019) (14)
- Online Video Foreground Segmentation using General Gaussian Mixture Modeling (2007) (14)
- Proportional data modeling via entropy-based variational bayes learning of mixture models (2017) (14)
- Beyond hybrid generative discriminative learning: spherical data classification (2015) (14)
- A Nonparametric Bayesian Learning Model: Application to Text and Image Categorization (2009) (14)
- Light Field Super-Resolution Using Edge-Preserved Graph-Based Regularization (2020) (14)
- A Statistical Approach for Binary Vectors Modeling and Clustering (2009) (14)
- Unsupervised keyword spotting using bounded generalized Gaussian mixture model with ICA (2015) (14)
- Online news topic detection and tracking via localized feature selection (2013) (14)
- Discrete visual features modeling via leave-one-out likelihood estimation and applications (2010) (13)
- Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs (2018) (13)
- Deriving kernels from generalized Dirichlet mixture models and applications (2013) (13)
- Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications (2016) (13)
- Database quality assessment for interactive learning: Application to occupancy estimation (2020) (13)
- Online Learning of a Dirichlet Process Mixture of Generalized Dirichlet Distributions for Simultaneous Clustering and Localized Feature Selection (2012) (12)
- Infinite Generalized Gaussian Mixture Modeling and Applications (2011) (12)
- Color object segmentation and tracking using flexible statistical model and level-set (2020) (12)
- A Bayesian Intrusion Detection Framework (2018) (12)
- Entropy-based variational Bayes learning framework for data clustering (2018) (12)
- A Bayesian analysis of spherical pattern based on finite Langevin mixture (2016) (12)
- Anomaly Intrusion Detection Using Incremental Learning of an Infinite Mixture Model with Feature Selection (2013) (12)
- Online Facial Expression Recognition Based on Finite Beta-Liouville Mixture Models (2013) (12)
- An optimal bivariate Poisson field chart for controlling high-quality manufacturing processes (2010) (11)
- Modeling and Clustering Positive Vectors via Nonparametric Mixture Models of Liouville Distributions (2020) (11)
- Variational Learning of Beta-Liouville Hidden Markov Models for Infrared Action Recognition (2019) (11)
- A hierarchical statistical model for object classification (2010) (11)
- Model Selection and Estimation of a Finite Shifted-Scaled Dirichlet Mixture Model (2018) (11)
- Text Modeling Using Multinomial Scaled Dirichlet Distributions (2018) (11)
- Face detection and facial expression recognition using simultaneous clustering and feature selection via an expectation propagation statistical learning framework (2015) (11)
- Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features (2012) (11)
- Proportional data clustering using K-means algorithm: A comparison of different distances (2017) (11)
- Artificial Intelligence for Mobile Health Data Analysis and Processing (2019) (11)
- A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models (2017) (11)
- A Variational Statistical Framework for Object Detection (2011) (11)
- A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models (2020) (11)
- Topic Novelty Detection Using Infinite Variational Inverted Dirichlet Mixture Models (2015) (11)
- Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models (2019) (10)
- High-dimensional count data clustering based on an exponential approximation to the multinomial Beta-Liouville distribution (2020) (10)
- Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions (2021) (10)
- Learning concepts from visual scenes using a binary probabilistic model (2009) (10)
- Variational-based latent generalized Dirichlet allocation model in the collapsed space and applications (2019) (10)
- Online Learning of Finite and Infinite Gamma Mixture Models for COVID-19 Detection in Medical Images (2020) (10)
- Infinite Dirichlet Mixture Model and Its Application via Variational Bayes (2011) (10)
- Improved Online Support Vector Machines Spam Filtering Using String Kernels (2009) (10)
- A latent Beta-Liouville allocation model (2016) (10)
- A new latent generalized dirichlet allocation model for image classification (2017) (10)
- Content-based spam filtering using hybrid generative discriminative learning of both textual and visual features (2012) (9)
- A variational component splitting approach for finite generalized Dirichlet mixture models (2012) (9)
- Model selection and application to high-dimensional count data clustering (2018) (9)
- A Competitive Generalized Gamma Mixture Model for Medical Image Diagnosis (2021) (9)
- Online Learning for Two Novel Latent Topic Models (2014) (9)
- Bounded Generalized Gaussian Mixture Model with ICA (2018) (9)
- Markov Chain Monte Carlo-Based Bayesian Inference for Learning Finite and Infinite Inverted Beta-Liouville Mixture Models (2021) (9)
- Model-based approach for high-dimensional non-Gaussian visual data clustering and feature weighting (2015) (9)
- A data-driven mixture kernel for count data classification using support vector machines (2008) (9)
- Sequentially spherical data modeling with hidden Markov models and its application to fMRI data analysis (2020) (9)
- Semantic Scene Classification with Generalized Gaussian Mixture Models (2015) (9)
- Visual Scenes Categorization Using a Flexible Hierarchical Mixture Model Supporting Users Ontology (2013) (9)
- Nonparametric variational learning of multivariate beta mixture models in medical applications (2020) (9)
- An Expandable Hierarchical Statistical Framework for Count Data Modeling and Its Application to Object Classification (2011) (9)
- Nonparametric Hierarchical Bayesian Models for Positive Data Clustering Based on Inverted Dirichlet-Based Distributions (2019) (9)
- Discriminative Learning Approach Based on Flexible Mixture Model for Medical Data Categorization and Recognition (2021) (9)
- Hidden Markov Models Based on Generalized Dirichlet Mixtures for Proportional Data Modeling (2014) (9)
- Fake News Detection Using Bayesian Inference (2019) (8)
- Online Variational Learning of Dirichlet Process Mixtures of Scaled Dirichlet Distributions (2020) (8)
- Model-Based Hierarchical Clustering for Categorical Data (2019) (8)
- Consumption Behavior Prediction Using Hierarchical Bayesian Frameworks (2018) (8)
- Spatially Constrained Mixture Model with Feature Selection for Image and Video Segmentation (2018) (8)
- Spherical data clustering and feature selection through nonparametric Bayesian mixture models with von Mises distributions (2020) (8)
- Stochastic optimization approach for entropic image alignment (2008) (8)
- Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction (2019) (8)
- Online variational inference on finite multivariate Beta mixture models for medical applications (2021) (8)
- A nonparametric Bayesian learning model using accelerated variational inference and feature selection (2019) (7)
- Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain (2014) (7)
- On the smoothing of multinomial estimates using Liouville mixture models and applications (2013) (7)
- Generalized Dirichlet Regression and other Compositional Models with Application to Market-share Data Mining of Information Technology Companies (2019) (7)
- Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs - A practical study (2019) (7)
- MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models (2018) (7)
- Multivariate bounded support Laplace mixture model (2020) (7)
- Component Splitting-based Approach for Multivariate Beta Mixture Models Learning (2019) (7)
- Online redundant image elimination and its application to wireless capsule endoscopy (2014) (7)
- Classifying Textures with Only 10 Visual-Words Using Hidden Markov Models with Dirichlet Mixtures (2014) (7)
- Variational learning of finite Beta-Liouville mixture models using component splitting (2013) (7)
- The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI (2013) (7)
- Variational Learning of Dirichlet Process Mixtures of Generalized Dirichlet Distributions and Its Applications (2012) (7)
- Dynamic Texture Recognition using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines (2019) (7)
- A new workflow for detailed urban scale building energy modeling using spatial joining of attributes for archetype selection (2021) (7)
- Computer Vision System for Automatic Counting of Planting Microsites Using UAV Imagery (2019) (7)
- Bandlet-based sparsity regularization in video inpainting (2014) (7)
- Clustering Analysis via Deep Generative Models With Mixture Models (2020) (7)
- Non-Gaussian mixture image models prediction (2008) (7)
- Unsupervised Feature Selection and Learning for Image Segmentation (2010) (6)
- A video completion method based on bandlet transform (2011) (6)
- Dynamic textures clustering using a hierarchical Pitman-Yor process mixture of Dirichlet distributions (2015) (6)
- Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution (2015) (6)
- Batch and online variational learning of hierarchical Dirichlet process mixtures of multivariate Beta distributions in medical applications (2021) (6)
- On Ransomware Family Attribution Using Pre-Attack Paranoia Activities (2022) (6)
- A Bayesian Approach for the Classification of Mammographic Masses (2013) (6)
- Clustering-Based Online News Topic Detection and Tracking Through Hierarchical Bayesian Nonparametric Models (2021) (6)
- Feature Selection for Non Gaussian Mixture Models (2007) (6)
- Improving codebook generation for action recognition using a mixture of Asymmetric Gaussians (2014) (6)
- Color texture classification by a discrete statistical model and feature selection (2009) (6)
- Asymmetric Gaussian Mixtures with Reversible Jump MCMC (2018) (6)
- Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications (2014) (6)
- Outlier Detection Via Multiclass Deep Autoencoding Gaussian Mixture Model for Building Chiller Diagnosis (2022) (6)
- A Novel Hierarchical Statistical Model for Count Data Modeling and Its Application in Image Classification (2012) (6)
- Bayesian frameworks for traffic scenes monitoring via view-based 3D cars models recognition (2019) (6)
- Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images (2021) (6)
- Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models (2021) (6)
- Predicting Defect-Prone Software Modules Using Shifted-Scaled Dirichlet Distribution (2018) (6)
- Erratum to: Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain (2014) (6)
- Unsupervised Learning of a Finite Discrete Mixture Model Based on the Multinomial Dirichlet Distribution: Application to Texture Modeling (2004) (6)
- Fully Bayesian Learning of Multivariate Beta Mixture Models (2020) (5)
- Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data (2017) (5)
- A Robust Approach for Multivariate Binary Vectors Clustering and Feature Selection (2011) (5)
- A Novel Approach for Anomaly Event Detection in Videos Based on Autoencoders and SE Networks (2018) (5)
- Simultaneous Non-gaussian Data Clustering, Feature Selection and Outliers Rejection (2011) (5)
- A Statistical Model for Histogram Refinement (2008) (5)
- Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions (2014) (5)
- Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models (2016) (5)
- Nonparametric Localized Feature Selection via a Dirichlet Process Mixture of Generalized Dirichlet Distributions (2012) (5)
- Human Action Recognition Using Accelerated Variational Learning of Infinite Dirichlet Mixture Models (2015) (5)
- Hybrid Generative-Discriminative Generalized Dirichlet-Based Hidden Markov Models with Support Vector Machines (2019) (5)
- A Finite Gamma Mixture Model-Based Discriminative Learning Frameworks (2015) (5)
- A model-based discriminative framework for sets of positive vectors classification: Application to object categorization (2014) (5)
- A hierarchical Dirichlet process mixture of GID Distributions with feature selection for spatio-temporal video modeling and segmentation (2017) (5)
- Hybrid hidden Markov model for mixed continuous/continuous and discrete/continuous data modeling (2015) (5)
- Integrating spatial and color information in images using a statistical framework (2010) (5)
- EVOLIoT: A Self-Supervised Contrastive Learning Framework for Detecting and Characterizing Evolving IoT Malware Variants (2022) (5)
- Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy (2014) (5)
- Probabilistic clustering based on Langevin mixture (2011) (5)
- Artificial Intelligence Applications in Information and Communication Technologies (2015) (5)
- A statistical framework for positive data clustering with feature selection: Application to object detection (2013) (5)
- Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models (2007) (5)
- A Statistical Approach for Unsupervised Occupancy Detection and Estimation in Smart Buildings (2019) (5)
- Towards Scalable Deployment of Hidden Markov Models in Occupancy Estimation: A Novel Methodology Applied to the Study Case of Occupancy Detection (2021) (5)
- Bayesian Learning of Finite Asymmetric Gaussian Mixtures (2018) (5)
- Online Clustering for Estimating Occupancy in an Office Setting (2019) (5)
- Supervised dimensionality reduction of proportional data using mixture estimation (2020) (4)
- Simultaneous clustering and feature selection via nonparametric Pitman–Yor process mixture models (2019) (4)
- Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model (2015) (4)
- Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection (2020) (4)
- A Probabilistic Approach based on a Finite Mixture Model of Multivariate Beta Distributions (2019) (4)
- Stochastic Expectation Propagation Learning of Infinite Multivariate Beta Mixture Models for Human Tissue Analysis (2021) (4)
- Brain MRI Intensity Inhomogeneity Correction Using Region of Interest, Anatomic Structural Map, and Outlier Detection (2016) (4)
- A Bayesian approach for SAR images segmentation and changes detection (2010) (4)
- Finite Multi-dimensional Generalized Gamma Mixture Model Learning Based on MML (2018) (4)
- Advanced Off-Line Statistical Modeling of Eye and Non-Eye Patterns (2008) (4)
- A Framework for Unsupervised Planning of Cellular Networks Using Statistical Machine Learning (2020) (4)
- Unsupervised Feature Selection for Spherical Data Modeling: Application to Image-Based Spam Filtering (2012) (4)
- Correlated multi-dimensional qos metrics for trust evaluation within web services (2014) (4)
- Deriving Probabilistic SVM Kernels from Exponential Family Approximations to Multivariate Distributions for Count Data (2019) (4)
- A Finite Multi-Dimensional Generalized Gamma Mixture Model (2018) (4)
- RJMCMC learning for clustering and feature selection of L2-normalized vectors (2016) (4)
- Face Detection and Facial Expression Recognition Using a Novel Variational Statistical Framework (2012) (4)
- Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions (2021) (4)
- Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model (2016) (4)
- Stochastic topic models for large scale and nonstationary data (2020) (4)
- Online variational finite Dirichlet mixture model and its applications (2012) (4)
- A novel feature selection method using generalized inverted Dirichlet-based HMMs for image categorization (2022) (4)
- Bayesian inference for infinite asymmetric Gaussian mixture with feature selection (2021) (4)
- Infinite Dirichlet mixture models learning via expectation propagation (2013) (4)
- Novel approaches for synthesizing video textures (2012) (4)
- Accelerated variational inference for Beta-Liouville mixture learning with application to 3D shapes recognition (2016) (4)
- Inpainting forgery detection using hybrid generative/discriminative approach based on bounded generalized Gaussian mixture model (2020) (4)
- Infinite Langevin Mixture Modeling and Feature Selection (2016) (4)
- Web Service Intrusion Detection Using a Probabilistic Framework (2014) (4)
- Video background subtraction using online infinite dirichlet mixture models (2013) (4)
- Spatial Finite Non-gaussian Mixture for Color Image Segmentation (2011) (4)
- Image and video spatial super-resolution via bandlet-based sparsity regularization and structure tensor (2015) (4)
- Birth-Death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications (2021) (4)
- Video Forgery Detection Using a Bayesian RJMCMC-Based Approach (2017) (4)
- Generating Video Textures by PPCA and Gaussian Process Dynamical Model (2009) (4)
- Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions (2020) (4)
- Learning of Finite Two-Dimensional Beta Mixture Models (2018) (3)
- Data Clustering using Variational Learning of Finite Scaled Dirichlet Mixture Models (2019) (3)
- Bayesian Matrix Factorization for Semibounded Data. (2021) (3)
- An Accurate Evaluation of MSD Log-likelihood and its Application in Human Action Recognition (2019) (3)
- Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling. (2021) (3)
- Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models (2019) (3)
- A Statistical Framework for Mental Targets Search Using Mixture Models (2015) (3)
- Multimodal action recognition using variational-based Beta-Liouville hidden Markov models (2020) (3)
- A Novel Finite Mixture Model for Count Data Modeling (2007) (3)
- A Distribution-based Regression for Real-time COVID-19 Cases Detection from Chest X-ray and CT Images (2020) (3)
- Bounded Laplace Mixture Model with Applications to Image Clustering and Content Based Image Retrieval (2018) (3)
- Breast Cancer Diagnosis using Quality Control Charts and Logistic Regression (2018) (3)
- An Improved K-medoids Algorithm Based on Binary Sequences Similarity Measures (2019) (3)
- Deep Clustering Analysis via Dual Variational Autoencoder With Spherical Latent Embeddings. (2021) (3)
- Shape modeling and categorization using fisher kernels (2011) (3)
- A Liouville-Based Approach for Discrete Data Categorization (2011) (3)
- A variational statistical framework for clustering human action videos (2012) (3)
- Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures (2021) (3)
- Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection (2021) (3)
- Probabilistic Modeling for Frequency Vectors Using a Flexible Shifted-Scaled Dirichlet Distribution Prior (2020) (3)
- Transfer learning for estimating occupancy and recognizing activities in smart buildings (2022) (3)
- Learning of Multivariate Beta Mixture Models via Entropy-based component splitting (2019) (3)
- Texture discrimination using local features and count data models (2011) (3)
- Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis (2021) (3)
- An Infinite Mixture Model of Generalized Inverted Dirichlet Distributions for High-Dimensional Positive Data Modeling (2014) (3)
- Proportional data modeling via selection and estimation of a finite mixture of scaled Dirichlet distributions (2020) (3)
- Speaker Verification Using Adapted Bounded Gaussian Mixture Model (2018) (3)
- Happiness Analysis with Fisher Information of Dirichlet-Multinomial Mixture Model (2020) (3)
- A Bayesian approach for texture images classification and retrieval (2011) (3)
- A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference (2020) (3)
- View-Based 3D Objects Recognition with Expectation Propagation Learning (2016) (3)
- Medical image classification using birth-and-death MCMC (2012) (3)
- Flexible Distribution-Based Regression Models for Count Data: Application to Medical Diagnosis (2020) (3)
- Robust unsupervised image categorization based on variational autoencoder with disentangled latent representations (2022) (3)
- Short-Term Passenger Flow Prediction Using a Bus Network Graph Convolutional Long Short-Term Memory Neural Network Model (2022) (3)
- Compositional Data Analysis with PLS-DA and Security Applications (2018) (3)
- Batch and Online Variational Learning of Hierarchical Pitman-Yor Mixtures of Multivariate Beta Distributions (2021) (3)
- FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree (2017) (3)
- A New Approach for High-Dimensional Unsupervised Learning: Applications to Image Restoration (2005) (3)
- Expectation propagation learning of finite Beta-Liouville mixtures for spatio-temporal object recognition (2013) (3)
- Multivariate Bounded Asymmetric Gaussian Mixture Model (2019) (2)
- Classification of text documents and extraction of semantically related words using hierarchical Latent Dirichlet Allocation (2015) (2)
- QoS-Based Reputation Feedback Fusion under Unknown Correlation (2014) (2)
- Online Variational Learning for a Dirichlet Process Mixture of Dirichlet Distributions and its Application (2012) (2)
- A Frequentist Inference Method Based on Finite Bivariate and Multivariate Beta Mixture Models (2019) (2)
- A Flexible Statistical Model for Image Denoising (2018) (2)
- Efficient Computation of Log-likelihood Function in Clustering Overdispersed Count Data Using Multinomial Beta-Liouville Distribution (2019) (2)
- Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition (2020) (2)
- Distribution Based Feature Mapping for Classifying Count Data (2019) (2)
- Improving residential building energy simulations through occupancy data derived from commercial off-the-shelf Wi-Fi sensing technology (2022) (2)
- Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis (2020) (2)
- A Smoothed Latent Generalized Dirichlet Allocation Model in the Collapsed Space (2018) (2)
- Visual Scene Reconstruction Using a Bayesian Learning Framework (2018) (2)
- A Hierarchical Statistical Framework for the Extraction of Semantically Related Words in Textual Documents (2013) (2)
- Empirical Evaluation of Selected Algorithms for Complexity-Based Classification of Software Modules and a New Model (2010) (2)
- Finite Inverted Beta-Liouville Mixture Models with Variational Component Splitting (2019) (2)
- Exact fisher information of generalized Dirichlet multinomial distribution for count data modeling (2021) (2)
- Count Data Clustering Using Unsupervised Localized Feature Selection and Outliers Rejection (2011) (2)
- Variational Inference of Finite Generalized Gaussian Mixture Models (2019) (2)
- Spatial image segmentation based on Beta-Liouville mixture models and Markov Random Field (2021) (2)
- Beta-Liouville Regression and Applications (2019) (2)
- Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications (2022) (2)
- EP-Based Infinite Inverted Dirichlet Mixture Learning: Application to Image Spam Detection (2018) (2)
- Efficient integration of generative topic models into discriminative classifiers using robust probabilistic kernels (2020) (2)
- A Statistical Process Control Chart Approach for Occupancy Estimation in Smart Buildings (2019) (2)
- A novel 3D model recognition approach using Pitman-Yor process mixtures of Beta-Liouville Distributions (2016) (2)
- Toward an Efficient Computation of Log-Likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering (2019) (2)
- Spatially constrained non-Gaussian mixture model for image segmentation (2017) (2)
- A Fully Bayesian Framework for Positive Data Clustering (2015) (2)
- A Hybrid Approach Based on SVM and Bernoulli Mixture Model for Binary Vectors Classification (2020) (2)
- Variational learning of a shifted scaled Dirichlet model with component splitting approach (2020) (2)
- An Accelerated Variational Framework for Face Expression Recognition (2018) (2)
- Reputation in Communities of Agent-Based Web Services Through Data Mining (2014) (2)
- Asymmetric Gaussian-Based Statistical Models Using Markov Chain Monte Carlo Techniques for Image Categorization (2018) (2)
- Spatially constrained Generalized Dirichlet mixture model for image segmentation (2017) (2)
- Maximum A Posteriori Approximation of Dirichlet and Beta-Liouville Hidden Markov Models for Proportional Sequential Data Modeling (2020) (2)
- On video textures generation: A comparison between different dimensionality reduction techniques (2009) (2)
- Nonparametric Bayesian Learning of Infinite Multivariate Generalized Normal Mixture Models and Its Applications (2021) (2)
- A Bayesian sampling framework for asymmetric generalized Gaussian mixture models learning (2021) (2)
- Online Variational Learning for Medical Image Data Clustering (2019) (2)
- Emotion recognition: A smoothed Dirichlet multinomial solution (2022) (2)
- Nonparametric hierarchical mixture models based on asymmetric Gaussian distribution (2020) (2)
- Medical Image Segmentation Based on Spatially Constrained Inverted Beta-Liouville Mixture Models (2019) (2)
- A Non-parametric Bayesian Learning Model Using Accelerated Variational Inference on Multivariate Beta Mixture Models for Medical Applications (2022) (1)
- Unsupervised Feature Selection for High-Dimensional Non-Gaussian Data Clustering with Variational Inference (2012) (1)
- A Fully Bayesian Inference with Gibbs Sampling for Finite and Infinite Discrete Exponential Mixture Models (2022) (1)
- A purely Bayesian approach for proportional visual data modelling (2018) (1)
- An optimal bivariate Poisson field chart for monitoring defects (2009) (1)
- Dirichlet Mixture Matching Projection for supervised linear dimensionality reduction of proportional data (2016) (1)
- On Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Data (2020) (1)
- Infinite Scaled Dirichlet Mixture Models for Spam Filtering via Bayesian and Variational Bayes Learning (2018) (1)
- An Effective Hybrid Anomaly Detection System Based on Mixture Models (2020) (1)
- Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting (2019) (1)
- A Nonparametric Bayesian Framework for Multivariate Beta Mixture Models (2021) (1)
- A Hierarchical Infinite Generalized Dirichlet Mixture Model with Feature Selection (2014) (1)
- Enhanced IR face recognition using Bayesian unsupervised algorithm (2010) (1)
- Plug-and-Play video super-resolution using edge-preserving filtering (2022) (1)
- Entropy-Based Variational Inference for Semi-Bounded Data Clustering in Medical Applications (2020) (1)
- Machine Learning for Activity Recognition in Smart Buildings: A Survey (2021) (1)
- Deformable models based object tracking: Challenges and current researches (2016) (1)
- Expectation propagation learning of finite multivariate Beta mixture models and applications (2022) (1)
- Blind Source Separation as Pre-processing to Unsupervised Keyword Spotting via an ICA Mixture Model (2018) (1)
- Recognition of human interactions in feature films based on infinite mixture of EDCM (2020) (1)
- A Hybrid of Interactive Learning and Predictive Modeling for Occupancy Estimation in Smart Buildings (2021) (1)
- Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications (2022) (1)
- Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting (2021) (1)
- Enhancement of clustering techniques by coupling clustering tree and neural network: Application to brain tumour segmentation (2022) (1)
- Intrusion Detection Using Unsupervised Approach (2017) (1)
- Bounded multivariate generalized Gaussian mixture model using ICA and IVA (2023) (1)
- Variational learning of finite shifted scaled Dirichlet mixture models (2021) (1)
- A Unified Model for Content Based Image Suggestion and Feature Selection (2007) (1)
- A statistical framework for few-shot action recognition (2021) (1)
- Mixture‐based clustering for count data using approximated Fisher Scoring and Minorization–Maximization approaches (2020) (1)
- Sparse Document Analysis Using Beta-Liouville Naive Bayes with Vocabulary Knowledge (2021) (1)
- Semisupervised online learning of hierarchical structures for visual object classification (2015) (1)
- Explainable K-Means Clustering for Occupancy Estimation (2022) (1)
- Covid-19 News Clustering using MCMC-Based Learing of finite EMSD Mixture Models (2021) (1)
- Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection (2020) (1)
- Unsupervised feature selection for proportional data clustering via expectation propagation (2013) (1)
- Efficient Feature Mapping in Classifying Proportional Data (2021) (1)
- Color Image Segmentation Using Generalized Inverted Dirichlet Finite Mixture Models By Integrating Spatial Information (2019) (1)
- Smoothed Generalized Dirichlet: A Novel Count-Data Model for Detecting Emotional States (2022) (1)
- Occupancy estimation in smart buildings using predictive modeling in imbalanced domains (2022) (1)
- Content modification of soccer videos using a supervised deep learning framework (2021) (1)
- Visual Scenes Clustering Using Variational Incremental Learning of Infinite Generalized Dirichlet Mixture Models (2013) (1)
- Non-Gaussian Data Clustering via Expectation Propagation Learning of Finite Dirichlet Mixture Models and Applications (2013) (1)
- Weakly Supervised Occupancy Prediction Using Training Data Collected via Interactive Learning (2022) (1)
- Unsupervised Learning of a Finite Dirichlet Mixture Model (1)
- Finite Two-Dimensional Beta Mixture Models: Model Selection and Applications (2019) (1)
- Multivariate bounded support asymmetric generalized Gaussian mixture model with model selection using minimum message length (2022) (1)
- A Novel Method for Scene Categorization Using an Improved Visual Vocabulary Approach (2014) (1)
- Unsupervised Image Categorization Based on Variational Autoencoder and Student’s-T Mixture Model (2019) (1)
- Knowledge-enhanced Spherical Representation Learning for Text Classification (2022) (1)
- Four‐neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain (2014) (1)
- Entropy-based Variational Learning of Finite Inverted Beta-Liouville Mixture Model (2021) (0)
- Improving the EDCM Mixture Model with Expectation Propagation (2020) (0)
- Variational learning of hierarchical infinite generalized Dirichlet mixture models and applications (2014) (0)
- Efficient Parameter Based Online Object Tracking (2021) (0)
- Recurrent Neural Network-Based Video Compression (2022) (0)
- Multivariate‐bounded Gaussian mixture model with minimum message length criterion for model selection (2021) (0)
- Background Subtraction with a Hierarchical Pitman-Yor Process Mixture Model of Generalized Gaussian Distributions (2020) (0)
- Spatio-temporal object recognition using variational learning of an infinite statistical model (2013) (0)
- Instance-Based Learning for Human Action Recognition (2020) (0)
- Variational learning for Dirichlet process mixtures of Dirichlet distributions and applications (2012) (0)
- Face detection and facial expression recognition using simultaneous clustering and feature selection via an expectation propagation statistical learning framework (2013) (0)
- Efficient integration of generative topic models into discriminative classifiers using robust probabilistic kernels (2020) (0)
- Clustering Count Data with Stochastic Expectation Propagation (2021) (0)
- Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation (2021) (0)
- Improving Topic Quality with Interactive Beta-Liouville Mixture Allocation Model (2022) (0)
- Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting (2020) (0)
- Multivariate Beta Dirichlet Process-based Hidden Markov Models Applied to Medical Applications (2022) (0)
- REP-Model: A deep learning framework for replacing ad billboards in soccer videos (2020) (0)
- Recursive Parameter Estimation of Beta-Liouville Hidden Markov Models (2022) (0)
- Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures (2020) (0)
- HMMs Recursive Parameters Estimation for Semi-Bounded Data Modeling: Application to Occupancy Estimation in Smart Buildings (2023) (0)
- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets (2020) (0)
- ML-Based Indexing of Media Libraries for Insights and Search (2022) (0)
- Beta-Liouville and Inverted Beta-Liouville Based Predictive Models for Occupancy Detection using Small Training Data (2022) (0)
- A nonparametric Bayesian learning model using accelerated variational inference and feature selection (2019) (0)
- A novel minorization–maximization framework for simultaneous feature selection and clustering of high-dimensional count data (2022) (0)
- Two-Dimensional and Three-Dimensional CNN-Based Simultaneous Detection and Activity Classification of Construction Workers (2022) (0)
- Novel Topic Models for Content Based Recommender Systems (2023) (0)
- Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023) (0)
- Joint Detection And Activity Recognition Of Construction Workers Using Convolutional Neural Networks (2021) (0)
- Count Data Modeling using MCMC-Based Learing of finite EMSD Mixture Models (2021) (0)
- Bayesian frameworks for traffic scenes monitoring via view-based 3D cars models recognition (2019) (0)
- Variational Inference of Finite Asymmetric Gaussian Mixture Models (2019) (0)
- Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting (2021) (0)
- Acknowledgements (2014) (0)
- Statistical Modeling Using Bounded Asymmetric Gaussian Mixtures: Application to Human Action and Gender Recognition (2021) (0)
- Online mixture-based clustering for high dimensional count data using Neerchal-Morel distribution (2021) (0)
- Finite Inverted Dirichlet Mixture Optimal Pixel Predictor (2019) (0)
- Erratum to: Optimal selection of regularization parameter in total variation method for reducing noise in magnetic resonance images of the brain (2014) (0)
- A Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification (2016) (0)
- Improving Classification Using Topic Correlation and Expectation Propagation (2020) (0)
- SPATIALCOLOR IMAGE DATABASESSUMMARIZATION (2007) (0)
- EVOLIoT (2022) (0)
- Online Variational Learning of Shifted Scaled Dirichlet Mixture (2021) (0)
- Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning (2021) (0)
- Distribution-based Regression Models for Semi-Bounded Data Analysis (2020) (0)
- Inverted Dirichlet State Space Model for Time Series Forecasting (2021) (0)
- Embedded Spherical Topic Models for Supervised Learning (2022) (0)
- A Hierarchical Pitman-Yor mixture of Scaled Dirichlet Distributions (2022) (0)
- Image and video denoising by combining unsupervised bounded generalized gaussian mixture modeling and spatial information (2018) (0)
- Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures (2022) (0)
- Semisupervised online learning of hierarchical structures for visual object classification (2013) (0)
- Model Selection Criterion for Multivariate Bounded Asymmetric Gaussian Mixture Model (2021) (0)
- Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection (2013) (0)
- Plug-and-Play video reconstruction using sparse 3D transform-domain block matching (2021) (0)
- ICA and IVA bounded multivariate generalized Gaussian mixture based hidden Markov models (2023) (0)
- Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis. (2022) (0)
- Online variational learning of finite Dirichlet mixture models (2012) (0)
- FEATURESELECTIONFORNON GAUSSIANMIXTURE MODELS (2007) (0)
- 3D object modeling and recognition via online hierarchical Pitman-yor process mixture learning (2015) (0)
- Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach (2022) (0)
- Online Video Textures Generation (2009) (0)
- Invertible Neural Network-Based Video Compression (2023) (0)
- Interactive Generalized Dirichlet Mixture Allocation Model (2022) (0)
- Effective Frameworks Based on Infinite Mixture Model for Real-World Applications (2022) (0)
- Improved Training for 3D Point Cloud Classification (2022) (0)
- Inverted Dirichlet and Related Distributions Based Feature Mapping for Data Classification (2020) (0)
- Variational Bayesian inference for infinite generalized inverted Dirichlet mixtures with feature selection and its application to clustering (2015) (0)
- Hybrid generative discriminative approaches based on Multinomial Scaled Dirichlet mixture models (2019) (0)
- On the smoothing of multinomial estimates using Liouville mixture models and applications (2011) (0)
- An Accelerated Nonparametric Bayesian Approach for Anomaly Detection with Feature Selection (2022) (0)
- Probabilistic Features on Simplex Manifold in Predictive Data Modelling (2020) (0)
- A Mixture-Based Clustering Approach for Household Energy Consumption Segmentation and Feature Weighting (2022) (0)
- Simultaneous clustering and feature selection via nonparametric Pitman–Yor process mixture models (2019) (0)
- Online redundant image elimination and its application to wireless capsule endoscopy (2012) (0)
- A Flexible and Hybrid Feature Mapping Technique Based on multivariate Beta Distribution Kernel Applied to Medical Applications (2022) (0)
- A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference (2019) (0)
- Journal of Spatial Science Reviewers - 2018 (2019) (0)
- An online approach for learning non-Gaussian mixture models with localized feature selection (2013) (0)
- Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction (2022) (0)
- Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting (2019) (0)
- Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection (2022) (0)
- Unsupervised learning of finite full covariance multivariate generalized Gaussian mixture models for human activity recognition (2019) (0)
- Incremental Learning of an Infinite Beta-Liouville Mixture Model for Video Background Subtraction (2014) (0)
- Image Segmentation Using Inverted Dirichlet Mixture Model and Spatial Information (2018) (0)
- A probabilistic algorithm for spatial color image segmentation (2011) (0)
- Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach (2019) (0)
- Mixture-Based Unsupervised Learning for Positively Correlated Count Data (2021) (0)
- Performance Evaluation of Geometric Area Analysis Technique for Anomaly Detection Using Trapezoidal Area Estimation (2020) (0)
- Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models (2022) (0)
- Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering (2021) (0)
- A new hybrid discriminative/generative model using the full-covariance multivariate generalized Gaussian mixture models (2019) (0)
- On smoothing and scaling language model for sentiment based information retrieval (2022) (0)
- Bayesian inference by reversible jump MCMC for clustering based on finite generalized inverted Dirichlet mixtures (2018) (0)
- A hierarchical nonparametric Bayesian approach for medical images and gene expressions classification (2014) (0)
- A Novel Model-Based Approach for Medical Image Segmentation Using Spatially Constrained Inverted Dirichlet Mixture Models (2017) (0)
- Bayesian Folding-In Using Generalized Dirichlet and Beta-Liouville Kernels for Information Retrieval (2022) (0)
- New Methods and Approaches in Decision and Control of Intelligent and Cyber Systems (2020) (0)
- Semantic Regions of Interest Applied to Adaptive Image Compression, Color Enhancement, and Automated Pan-and-Scan (2023) (0)
- Short Text Clustering Using Generalized Dirichlet Multinomial Mixture Model (2021) (0)
- Color Image Segmentation Using Semi-bounded Finite Mixture Models by Incorporating Mean Templates (2019) (0)
- Model-Based Clustering Based on Variational Learning of Hierarchical Infinite Beta-Liouville Mixture Models (2015) (0)
- Proportional data modeling via entropy-based variational bayes learning of mixture models (2017) (0)
- IMPROVING CONTENT BASED IMAGE RETRIEVAL SYSTEMS USING FINITE M U LT I N 0 M I A L D I RICH LET M I XTU R E (2004) (0)
- L 2 Normalized Data Clustering Through the Dirichlet Process Mixture Model of von Mises Distributions with Localized Feature Selection (2019) (0)
- A Review of Neural Networks for Buildings Occupancy Measurement (2022) (0)
- Content modification of soccer videos using a supervised deep learning framework (2021) (0)
- Performance Evaluation of Adversarial Learning for Anomaly Detection using Mixture Models (2021) (0)
- Beyond hybrid generative discriminative learning: spherical data classification (2013) (0)
- Model selection and application to high-dimensional count data clustering (2018) (0)
- Video Compression Using Convolutional Neural Networks of Video with Chroma Subsampling (2022) (0)
- Hierarchical Dirichlet and Pitman–Yor process mixtures of shifted‐scaled Dirichlet distributions for proportional data modeling (2022) (0)
- Entropy-Based Variational Learning of Finite Generalized Inverted Dirichlet Mixture Model (2021) (0)
- Stochastic Variational Optimization of a Hierarchical Dirichlet Process Latent Beta-Liouville Topic Model (2022) (0)
- Optimizing Video Compression With CNN-Based Autoencoders With Chroma Subsampling (2023) (0)
- An embedding framework for video reconstruction using Gaussian mixture models (2019) (0)
- Expectation propagation learning of finite and infinite Gamma mixture models and its applications (2023) (0)
- MCMC-Based Learning of Finite Bivariate Beta Mixture Models (2020) (0)
- Bounded Generalized Gaussian Mixture Model with ICA (2018) (0)
- Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms (2017) (0)
- Recognition and Clustering of Dirichlet Mixtures (2015) (0)
- Machine Learning Applied to Media Libraries for Insights, Search, and Segmentation (2023) (0)
- List of contributors (2021) (0)
- Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution (2019) (0)
- Indoor Activity Recognition Using a Hybrid Generative-Discriminative Approach with Hidden Markov Models and Support Vector Machines (2022) (0)
- Continuous image anomaly detection based on contrastive lifelong learning (2023) (0)
- Infinite Dirichlet mixture models learning via expectation propagation (2013) (0)
- Jointly smoothing word embedding and text representation (2021) (0)
- Special issue on Bio-inspired optimization techniques for Biomedical Data Analysis: Methods and applications (2020) (0)
- Finite multi-dimensional generalized Gamma Mixture Model Learning for feature selection (2021) (0)
- Bivariate Beta Regression Model and Its Medical Applications (2020) (0)
- Efficient Statistical Learning Framework with Applications to Human Activity and Facial Expression Recognition (2020) (0)
- Probabilistic approach for QoS-aware recommender system for trustworthy web service selection (2014) (0)
- A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data (2022) (0)
- A Hierarchical Nonparametric Bayesian Model Based on Scaled Dirichlet Distribution (2021) (0)
- CNN-n-GRU: end-to-end speech emotion recognition from raw waveform signal using CNNs and gated recurrent unit networks (2022) (0)
- Cross-collection latent Beta-Liouville allocation model training with privacy protection and applications (2023) (0)
- Unsupervised outlier detection using neural network-based mixtures of probabilistic principal component analyzers for building chiller fault diagnosis (2022) (0)
- Human Activity Recognition with an HMM-Based Generative Model (2023) (0)
- Single-target visual tracking using color compression and spatially weighted generalized Gaussian mixture models (2022) (0)
- A NOVEL FINITEMIXTUREMODEL FOR COUNT DATAMODELING (2007) (0)
- Recursive Parameter Estimation of Generalized Dirichlet Hidden Markov Models: Application to Occupancy Estimation in Smart Buildings (2022) (0)
- Stochastic Expectation Propagation Learning for Unsupervised Feature Selection (2022) (0)
- A countably infinite mixture model for clustering and feature selection (2011) (0)
- Using ML to Find the Semantic Region of Interest (2022) (0)
- Bayesian learning of inverted Dirichlet mixtures for SVM kernels generation (2012) (0)
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