Song-can Chen
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Song-can Chen's AcademicInfluence.com Rankings
Song-can Chenengineering Degrees
Engineering
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Applied Physics
#1402
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Electrical Engineering
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Engineering
Song-can Chen's Degrees
- PhD Electrical Engineering National Taiwan University
- Masters Electrical Engineering National Taiwan University
- Bachelors Electrical Engineering National Taiwan University
Why Is Song-can Chen Influential?
(Suggest an Edit or Addition)Song-can Chen'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
- Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure (2004) (1101)
- Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation (2007) (1093)
- Efficient and robust feature extraction by maximum margin criterion (2003) (932)
- Sparsity preserving projections with applications to face recognition (2010) (770)
- Face recognition from a single image per person: A survey (2006) (750)
- Recent Advances in Open Set Recognition: A Survey (2018) (346)
- Semi-Supervised Dimensionality Reduction (2007) (329)
- Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble (2005) (293)
- Locality preserving CCA with applications to data visualization and pose estimation (2007) (220)
- Constraint Score: A new filter method for feature selection with pairwise constraints (2008) (207)
- A new face recognition method based on SVD perturbation for single example image per person (2005) (195)
- Making FLDA applicable to face recognition with one sample per person (2004) (188)
- Subpattern-based principle component analysis (2004) (175)
- Adaptively weighted sub-pattern PCA for face recognition (2005) (167)
- Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients (2014) (161)
- A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image (2013) (154)
- Diagonal principal component analysis for face recognition (2006) (150)
- Graph-optimized locality preserving projections (2010) (129)
- A Novel Method of Combined Feature Extraction for Recognition (2008) (124)
- MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm (2008) (123)
- Semi-supervised clustering with metric learning: An adaptive kernel method (2010) (119)
- Doubly Aligned Incomplete Multi-view Clustering (2018) (119)
- Fuzzy clustering using kernel method (2002) (117)
- Tri-Subject Kinship Verification: Understanding the Core of A Family (2015) (112)
- Cross-heterogeneous-database age estimation through correlation representation learning (2017) (110)
- Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier (2011) (102)
- Face Recognition Under Occlusions and Variant Expressions With Partial Similarity (2009) (101)
- Discriminatively regularized least-squares classification (2009) (100)
- New Semi-Supervised Classification Method Based on Modified Cluster Assumption (2012) (98)
- Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA (2005) (97)
- The FG 2015 Kinship Verification in the Wild Evaluation (2015) (92)
- New Least Squares Support Vector Machines Based on Matrix Patterns (2007) (87)
- Non-negative Matrix Factorization on Kernels (2006) (87)
- Sparsity preserving discriminant analysis for single training image face recognition (2010) (87)
- Kernel-based fuzzy clustering incorporating spatial constraints for image segmentation (2003) (86)
- Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification (2016) (79)
- A literature survey on robust and efficient eye localization in real-life scenarios (2013) (77)
- Graph optimization for dimensionality reduction with sparsity constraints (2012) (77)
- Data-driven graph construction and graph learning: A review (2018) (73)
- Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment (2016) (72)
- Enhanced Pictorial Structures for precise eye localization under incontrolled conditions (2009) (71)
- Semi-random subspace method for face recognition (2009) (71)
- A robust multi-class AdaBoost algorithm for mislabeled noisy data (2016) (67)
- SVM: Support Vector Machines (2011) (66)
- A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data (2012) (65)
- Safety-Aware Semi-Supervised Classification (2013) (58)
- A Multiobjective Simultaneous Learning Framework for Clustering and Classification (2010) (57)
- Multi-Label Active Learning: Query Type Matters (2015) (56)
- A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation (2008) (56)
- A review on Gaussian Process Latent Variable Models (2016) (55)
- A study on three linear discriminant analysis based methods in small sample size problem (2008) (55)
- FREL: A Stable Feature Selection Algorithm (2015) (53)
- Sample-dependent graph construction with application to dimensionality reduction (2010) (52)
- A deep learning approach for efficiently and accurately evaluating the flow field of supercritical airfoils (2020) (51)
- Seeking multi-thresholds directly from support vectors for image segmentation (2005) (51)
- One-Pass Incomplete Multi-view Clustering (2019) (48)
- Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector (2008) (47)
- Learning the kernel parameters in kernel minimum distance classifier (2006) (46)
- Single Image Subspace for Face Recognition (2007) (45)
- Fractional order singular value decomposition representation for face recognition (2008) (44)
- Attribute relation learning for zero-shot classification (2014) (43)
- Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem (2006) (43)
- Semi-Supervised Multi-View Deep Discriminant Representation Learning (2020) (41)
- A simultaneous learning framework for clustering and classification (2009) (40)
- Representing Image Matrices: Eigenimages Versus Eigenvectors (2005) (40)
- Heterogeneous cross domain ranking in latent space (2009) (40)
- Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning (2007) (40)
- A unified algorithm for mixed $$l_{2,p}$$l2,p-minimizations and its application in feature selection (2014) (39)
- A novel multi-view learning developed from single-view patterns (2011) (39)
- Class label versus sample label-based CCA (2007) (39)
- Image binarization focusing on objects (2006) (39)
- Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition (2005) (37)
- Semisupervised Kernel Matrix Learning by Kernel Propagation (2010) (36)
- Exploiting relationship between attributes for improved face verification (2014) (36)
- Active Feature Acquisition with Supervised Matrix Completion (2018) (36)
- Constraint Projections for Ensemble Learning (2008) (35)
- Structural Support Vector Machine (2008) (33)
- Generalized Low-Rank Approximations of Matrices Revisited (2010) (33)
- Non-iterative generalized low rank approximation of matrices (2006) (33)
- Proximal support vector machine using local information (2009) (32)
- Robust fuzzy relational classifier incorporating the soft class labels (2007) (31)
- Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion (2006) (30)
- Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes (2020) (30)
- Enhanced FMAM based on empirical kernel map (2005) (29)
- Semi-supervised Kernel-Based Fuzzy C-Means (2004) (29)
- Alternative linear discriminant classifier (2004) (28)
- Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification (2017) (27)
- Semi-supervised classification learning by discrimination-aware manifold regularization (2015) (27)
- Collective Decision for Open Set Recognition (2018) (26)
- Eyes Closeness Detection Using Appearance Based Methods (2012) (26)
- Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories (2018) (26)
- Local ridge regression for face recognition (2009) (25)
- Multi-label active learning by model guided distribution matching (2016) (25)
- Multi-instance multi-label active learning (2017) (24)
- Expert2Bólè: From Expert Finding to Bólè Search (2009) (24)
- Mixed bi-subject kinship verification via multi-view multi-task learning (2016) (24)
- Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization (2020) (23)
- Representing Image Matrices : Eigenimages vs . Eigenvectors (2005) (23)
- Multi-view kernel machine on single-view data (2009) (22)
- Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers (2013) (22)
- Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition (2007) (22)
- Simultaneous clustering and classification over cluster structure representation (2012) (22)
- Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training (2021) (22)
- Improving the Robustness of ‘Online Agglomerative Clustering Method’ Based on Kernel-Induce Distance Measures (2005) (22)
- Orthogonal curved-line Gabor filter for fast fingerprint enhancement (2014) (21)
- A general non-local denoising model using multi-kernel-induced measures (2014) (21)
- Ensemble Feature Weighting Based on Local Learning and Diversity (2012) (21)
- Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas (2018) (21)
- New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine (2018) (20)
- Fast image compression using matrix K-L transform (2005) (20)
- Improved exponential bidirectional associative memory (1997) (19)
- Subpattern-Based Principal Component Analysis (2004) (19)
- Modified linear discriminant analysis (2005) (18)
- Transfer Learning with Active Queries from Source Domain (2016) (18)
- Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning (2020) (18)
- Comparative study among three strategies of incorporating spatial structures to ordinal image regression (2014) (18)
- Crowdsourcing aggregation with deep Bayesian learning (2021) (17)
- Hierarchical Gaussian Processes model for multi-task learning (2018) (17)
- Analysis of Non-Local Euclidean Medians and Its Improvement (2013) (17)
- Soft large margin clustering (2013) (17)
- Joint representation classification for collective face recognition (2015) (17)
- $l_{2,p}$ Matrix Norm and Its Application in Feature Selection (2013) (17)
- Joint Estimation of Multiple Conditional Gaussian Graphical Models (2018) (17)
- Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization (2019) (16)
- Regularized soft K-means for discriminant analysis (2013) (16)
- Cross modal similarity learning with active queries (2018) (16)
- Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization (2019) (16)
- Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models (2015) (16)
- Learning the Optimal Neighborhood Kernel for Classification (2009) (16)
- Multi-dimensional classification via a metric approach (2018) (16)
- Robust nonnegative matrix factorization with structure regularization (2020) (16)
- Joint gender classification and age estimation by nearly orthogonalizing their semantic spaces (2016) (16)
- Accelerated Stochastic Gradient-free and Projection-free Methods (2020) (15)
- Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels (2006) (15)
- A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering (2020) (15)
- Semi-supervised manifold regularization with adaptive graph construction (2017) (14)
- Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels (2020) (14)
- Cumulative attribute relation regularization learning for human age estimation (2015) (14)
- Dimensionality reduction with adaptive graph (2013) (14)
- A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning (2020) (14)
- Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes (2009) (14)
- Discriminative Canonical Correlation Analysis with Missing Samples (2009) (14)
- BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent (2011) (14)
- Soft large margin clustering for unsupervised domain adaptation (2020) (13)
- A Supervised Combined Feature Extraction Method for Recognition (2008) (13)
- Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering (2020) (13)
- Label-aligned multitask feature learning for multimodal classification of Alzheimer ’ s disease and mild cognitive impairment (2016) (13)
- Class-information-incorporated principal component analysis (2005) (13)
- A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation (2006) (12)
- Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction (2015) (12)
- Improved CBP Neural Network Model with Applications in Time Series Prediction (2004) (12)
- Random projection ensemble learning with multiple empirical kernels (2013) (12)
- Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization (2018) (11)
- Learning to Advertise: How Many Ads Are Enough? (2011) (11)
- Matrix-pattern-oriented least squares support vector classifier with AdaBoost (2008) (11)
- Learning Dynamic Conditional Gaussian Graphical Models (2018) (11)
- Glocalization pursuit support vector machine (2011) (11)
- Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns (2006) (11)
- Conditional random field-based image labelling combining features of pixels, segments and regions (2012) (11)
- Fuzzy-Kernel Learning Vector Quantization (2004) (10)
- Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks (2019) (10)
- Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face (2004) (10)
- Support Vector Machine incorporated with feature discrimination (2011) (10)
- Stochastic Alternating Direction Method of Multipliers with Variance Reduction for Nonconvex Optimization (2016) (10)
- Bagging-like metric learning for support vector regression (2014) (10)
- Multi-view classification with cross-view must-link and cannot-link side information (2013) (10)
- Three-fold structured classifier design based on matrix pattern (2013) (10)
- Can under-exploited structure of original-classes help ECOC-based multi-class classification? (2012) (10)
- Fuzzy classifier based on fuzzy support vector machine (2014) (10)
- Regularized multi-view learning machine based on response surface technique (2012) (10)
- An empirical study of two typical locality preserving linear discriminant analysis methods (2010) (10)
- A convex formulation for multiple ordinal output classification (2019) (10)
- Query-dependent cross-domain ranking in heterogeneous network (2011) (10)
- Integrating the improved CBP model with kernel SOM (2006) (10)
- Neighborhood Correlation Analysis for Semi-paired Two-View Data (2013) (9)
- Resampling LDA/QR and PCA+LDA for Face Recognition (2005) (9)
- Metric Learning-Guided Least Squares Classifier Learning (2018) (9)
- A unified SWSI-KAMs framework and performance evaluation on face recognition (2005) (9)
- Generating labeled samples for hyperspectral image classification using correlation of spectral bands (2016) (9)
- Large correlation analysis (2011) (8)
- A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization (2010) (8)
- Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction (2005) (8)
- Tri-subjects kinship verification: Understanding the core of a family (2015) (8)
- Ordinal margin metric learning and its extension for cross-distribution image data (2016) (8)
- Fuzzy c-Means Revisited: Towards a Cluster-Center-Free Reformulation (2010) (8)
- Intelligent Data Engineering and Automated Learning – IDEAL 2017 (2017) (8)
- Disambiguating Authors by Pairwise Classification (2010) (8)
- Robust image denoising using kernel-induced measures (2004) (8)
- A Novel Approach of Rough Set-Based Attribute Reduction Using Fuzzy Discernibility Matrix (2007) (7)
- Sub-intrapersonal space analysis for face recognition (2006) (7)
- Provable Defense Against Delusive Poisoning (2021) (7)
- Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection (2020) (7)
- Plane-Gaussian artificial neural network (2012) (7)
- A structurally motivated framework for discriminant analysis (2011) (7)
- Heterogeneous Domain Adaptation With Structure and Classification Space Alignment (2021) (6)
- Entropy-Inspired Competitive Clustering Algorithms (2007) (6)
- A novel multi-valued BAM model with improved error-correcting capability (2003) (6)
- Gaussian process approach for metric learning (2019) (6)
- Discriminality-driven regularization framework for indefinite kernel machine (2014) (6)
- Disguised Discrimination of Locality-Based Unsupervised Dimensionality Reduction (2010) (5)
- A tree-structured framework for purifying "complex" clusters with structural roles of individual data (2010) (5)
- Classifier learning with a new locality regularization method (2008) (5)
- Structural Regularized Support Vector Machine (2011) (5)
- Progressive Principal Component Analysis (2004) (5)
- Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces (2020) (5)
- A novel multi-view classifier based on Nyström approximation (2011) (5)
- Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks (2022) (5)
- EnhancedPictorial Structures for Precise Eye Localization Under Uncontrolled Conditions (2009) (5)
- A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition (2020) (5)
- With False Friends Like These, Who Can Notice Mistakes? (2020) (4)
- SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size (2011) (4)
- A Comparative Study: Globality versus Locality for Graph Construction in Discriminant Analysis (2014) (4)
- Co-metric: a metric learning algorithm for data with multiple views (2013) (4)
- Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification (2010) (4)
- Recognition from a Single Sample per Person with Multiple SOM Fusion (2006) (4)
- A novel ordinal learning strategy: Ordinal nearest-centroid projection (2015) (4)
- Robust convex clustering (2020) (4)
- Modifying NL-means to a universal filter (2012) (4)
- Robust ordinal regression induced by lp-centroid (2018) (4)
- Ordinal factorization machine with hierarchical sparsity (2020) (4)
- Jacobian Norm for Unsupervised Source-Free Domain Adaptation (2022) (4)
- Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression (2011) (3)
- Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data (2012) (3)
- Detecting differential expression from RNA-seq data with expression measurement uncertainty (2014) (3)
- Linear discriminant analysis with worst between-class separation and average within-class compactness (2014) (3)
- Margin distribution explanation on metric learning for nearest neighbor classification (2016) (3)
- Ordinal space projection learning via neighbor classes representation (2018) (3)
- Feature Selection for High Dimensional Face Image Using Self-organizing Maps (2005) (3)
- Self-corrected unsupervised domain adaptation (2021) (3)
- Modeling Exon-Specific Bias Distribution Improves the Analysis of RNA-Seq Data (2015) (3)
- An Efficient Pseudoinverse Linear Discriminant Analysis method for Face Recognition (2006) (3)
- Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries (2021) (3)
- Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data (2020) (3)
- Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction (2005) (3)
- Relationships Self-Learning Based Gender-Aware Age Estimation (2019) (3)
- Multicategory Nonparallel Proximal Support Vector Machine (2007) (3)
- A Fuzzy Clustering Algorithm for Image Segmentation Using Dependable Neighbor Pixels (2009) (3)
- Structure-Embedded AUC-SVM (2010) (3)
- Exponential Bidirectional Associative Memory Based on Small-world Architecture (2007) (2)
- Growing neural gas with random projection method for high-dimensional data stream clustering (2020) (2)
- Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition (2006) (2)
- Improving deep label noise learning with dual active label correction (2022) (2)
- Structure-Exploiting Discriminative Ordinal Multioutput Regression (2020) (2)
- Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation (2019) (2)
- Linear Convergence of Accelerated Stochastic Gradient Descent for Nonconvex Nonsmooth Optimization (2017) (2)
- Hierarchical Dirichlet Process-based Open Set Recognition (2018) (2)
- A comprehensive perspective of contrastive self-supervised learning (2021) (2)
- Multiplane Convex Proximal Support Vector Machine. (2021) (2)
- A Unified Gender-Aware Age Estimation (2016) (2)
- MC: An Unsupervised Data Preprocessing for Classification (2008) (2)
- Bayesian compressive principal component analysis (2020) (2)
- McMatMHKS: A direct multi-class matrixized learning machine (2015) (2)
- Manifold contraction for semi-supervised classification (2010) (2)
- Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease (2014) (2)
- Stable L2-Regularized Ensemble Feature Weighting (2013) (2)
- Two-stage nonparametric kernel leaning: From label propagation to kernel propagation (2011) (1)
- Spatial regularization in subspace learning for face recognition: implicit vs. explicit (2016) (1)
- Learning Attribute Relation in Attribute-Based Zero-Shot Classification (2012) (1)
- An Improvement of BAM in Storage Capacity and Error-Correction Capability (2007) (1)
- Discriminative Regularization : A New Classifier Learning Method (2008) (1)
- Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation. (2022) (1)
- Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image (2005) (1)
- A unified algorithm for mixed l2,p\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l_{2,p}$$\end{document}-minimization (2014) (1)
- On the learning dynamics of two-layer quadratic neural networks for understanding deep learning (2021) (1)
- Can Adversarial Training Be Manipulated By Non-Robust Features? (2022) (1)
- A Similarity-Based Framework for Classification Task (2022) (1)
- PointSmile: Point Self-supervised Learning via Curriculum Mutual Information (2023) (1)
- Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs (2021) (1)
- Hybrid Neural Network Architecture Based on Self-Organizing Feature Maps: Hybrid Neural Network Architecture Based on Self-Organizing Feature Maps (2010) (1)
- Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces (2022) (1)
- Universum-inspired Supervised Contrastive Learning (2022) (1)
- A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness (2009) (1)
- Partial Domain Adaptation without Domain Alignment (2021) (1)
- With False Friends Like These, Who Can Have Self-Knowledge? (2020) (1)
- SSPS: A Semi-Supervised Pattern Shift for Classification (2010) (1)
- Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox (2022) (1)
- Alternative linear discriminant classi (2004) (1)
- Metric Learning across Heterogeneous Domains by Respectively Aligning Both Priors and Posteriors (2012) (1)
- Clustering Using Normalized Path-Based Metric (2008) (1)
- Co-metric: a metric learning algorithm for data with multiple views (2013) (1)
- Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition (2022) (0)
- Heterogeneous multi-output classification by structured conditional risk minimization (2018) (0)
- Feature-correlation-aware Gaussian Process Latent Variable Model (2018) (0)
- Human Collective Intelligence Inspired Multi-View Representation Learning — Enabling View Communication by Simulating Human Communication Mechanism (2022) (0)
- Growing neural gas with random projection method for high-dimensional data stream clustering (2019) (0)
- Semi-SupervisedDimensionalityReduction ∗ (2007) (0)
- A Primal Framework for Indefinite Kernel Learning (2019) (0)
- Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning (2019) (0)
- Spatial Euler kernel and its applications (2016) (0)
- Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment (2015) (0)
- Improving deep label noise learning with dual active label correction (2022) (0)
- TIToK: A solution for bi-imbalanced unsupervised domain adaptation (2023) (0)
- Relationships Self-Learning Based Gender-Aware Age Estimation (2019) (0)
- Sign-aware Perturbations Regression (2021) (0)
- View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering (2022) (0)
- Distribution agnostic Bayesian matching pursuit based on the exponential embedded family (2020) (0)
- Query-dependent cross-domain ranking in heterogeneous network (2012) (0)
- 基于特征偏好的聚类研究 (Research on Clustering with Feature Preferences) (2015) (0)
- Dimensionality reduction with adaptive graph (2013) (0)
- Rectified Euler <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mi>k</mml:mi></mml:math>-means and Beyond (2022) (0)
- Dual-Correction Adaptation Network for Noisy Knowledge Transfer (2022) (0)
- Generalized Low-Rank Approximations (2010) (0)
- Crowdsourcing aggregation with deep Bayesian learning (2021) (0)
- Orthogonality-based label correction in multi-class classification (2013) (0)
- Linear discriminant analysis with worst between-class separation and average within-class compactness (2014) (0)
- A Multi-view Perspective of Self-supervised Learning (2020) (0)
- Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts (2022) (0)
- Plane-Gaussian artificial neural network (2011) (0)
- Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels (2023) (0)
- Cross-heterogeneous-database age estimation with co-representation among them (2016) (0)
- A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree (2022) (0)
- Multi-Features Fusion Based Face Recognition (2017) (0)
- Margin Distribution Controlled Boosting (2012) (0)
- ALL-E: Aesthetics-guided Low-light Image Enhancement (2023) (0)
- Semantic-Oriented Knowledge Transfer for Review Rating (2010) (0)
- Learning multi-tasks with inconsistent labels by using auxiliary big task (2022) (0)
- Robust convex clustering (2019) (0)
- Structure-Aware Subspace Clustering (2023) (0)
- Ordinal factorization machine with hierarchical sparsity (2019) (0)
- An Enhanced Image Retrieval using Contribution-based Clustering Algorithm with Spatial Feature of Texture Primitive and Edge Detection (2015) (0)
- Neural Networks with Applications in Time Series Prediction (2004) (0)
- Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems (2023) (0)
- Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels (2022) (0)
- Rectified Euler k-means and Beyond (2021) (0)
- Accurate Eye Localization under Large Illumination and Expression Variations with Enhanced Pictorial Model (2008) (0)
- Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers (2013) (0)
- A Primal Framework for Indefinite Kernel Learning (2019) (0)
- Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously (2020) (0)
- Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping (2009) (0)
- Digital Research on Oblique Cutting Parameters of Round Broach (2013) (0)
- Is It Time to Redefine the Classification Task for Deep Learning Systems? (2021) (0)
- Neighborhood Correlation Analysis for Semi-paired Two-View Data (2012) (0)
- 2D compressed learning: support matrix machine with bilinear random projections (2019) (0)
- Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension (2020) (0)
- Bayesian compressive principal component analysis (2020) (0)
- A personalized mail re-filtering system based on the client (2018) (0)
- Convex Subspace Clustering by Adaptive Block Diagonal Representation (2020) (0)
- 连续无监督异常检测 (2021) (0)
- Multi-label active learning by model guided distribution matching (2016) (0)
- 2D compressed learning: support matrix machine with bilinear random projections (2019) (0)
- Rapid and BriefCommunication Alternative linear discriminant classi$er (2004) (0)
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