Song-can Chen

Song-can Chen's AcademicInfluence.com Rankings

Song-can Chen

Engineering

#5115

World Rank

#6358

Historical Rank

Applied Physics

#1402

World Rank

#1433

Historical Rank

Electrical Engineering

#1381

World Rank

#1473

Historical Rank

engineering Degrees

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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

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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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What Schools Are Affiliated With Song-can Chen?

Song-can Chen is affiliated with the following schools:

Nanjing University of Aeronautics and Astronautics

Song-can Chen's Academic­Influence.com Rankings

Song-can Chen's Degrees

Why Is Song-can Chen Influential?

Song-can Chen's Published Works

Published Works

What Schools Are Affiliated With Song-can Chen?

Song-can Chen's AcademicInfluence.com Rankings