Songcan Chen

According to our database1, Songcan Chen authored at least 197 papers between 2003 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 




A convex formulation for multiple ordinal output classification.
Pattern Recognition, 2019

Gaussian process approach for metric learning.
Pattern Recognition, 2019

Joint Estimation of Multiple Conditional Gaussian Graphical Models.
IEEE Trans. Neural Netw. Learning Syst., 2018

Metric Learning-Guided Least Squares Classifier Learning.
IEEE Trans. Neural Netw. Learning Syst., 2018

Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas.
IEEE Trans. Med. Imaging, 2018

Learning Dynamic Conditional Gaussian Graphical Models.
IEEE Trans. Knowl. Data Eng., 2018

Heterogeneous multi-output classification by structured conditional risk minimization.
Pattern Recognition Letters, 2018

Hierarchical Gaussian Processes model for multi-task learning.
Pattern Recognition, 2018

Cross modal similarity learning with active queries.
Pattern Recognition, 2018

Joint gender classification and age estimation by nearly orthogonalizing their semantic spaces.
Image Vision Comput., 2018

Robust ordinal regression induced by lp-centroid.
Neurocomputing, 2018

Data-driven graph construction and graph learning: A review.
Neurocomputing, 2018

Multi-dimensional classification via a metric approach.
Neurocomputing, 2018

Ordinal space projection learning via neighbor classes representation.
Computer Vision and Image Understanding, 2018

Active Feature Acquisition with Supervised Matrix Completion.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Doubly Aligned Incomplete Multi-view Clustering.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Feature-correlation-aware Gaussian Process Latent Variable Model.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Semi-supervised manifold regularization with adaptive graph construction.
Pattern Recognition Letters, 2017

Joint representation classification for collective face recognition.
Pattern Recognition, 2017

Cross-heterogeneous-database age estimation through correlation representation learning.
Neurocomputing, 2017

Multi-instance multi-label active learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-Features Fusion Based Face Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A robust multi-class AdaBoost algorithm for mislabeled noisy data.
Knowl.-Based Syst., 2016

Ordinal margin metric learning and its extension for cross-distribution image data.
Inf. Sci., 2016

Margin distribution explanation on metric learning for nearest neighbor classification.
Neurocomputing, 2016

Spatial regularization in subspace learning for face recognition: implicit vs. explicit.
Neurocomputing, 2016

Mixed bi-subject kinship verification via multi-view multi-task learning.
Neurocomputing, 2016

Generating labeled samples for hyperspectral image classification using correlation of spectral bands.
Frontiers Comput. Sci., 2016

Multi-label active learning by model guided distribution matching.
Frontiers Comput. Sci., 2016

Transfer Learning with Active Queries from Source Domain.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Cross-heterogeneous-database age estimation with co-representation among them.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

FREL: A Stable Feature Selection Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2015

Joint Learning of Multiple Sparse Matrix Gaussian Graphical Models.
IEEE Trans. Neural Netw. Learning Syst., 2015

Tri-Subject Kinship Verification: Understanding the Core of A Family.
IEEE Trans. Multimedia, 2015

McMatMHKS: A direct multi-class matrixized learning machine.
Knowl.-Based Syst., 2015

A novel ordinal learning strategy: Ordinal nearest-centroid projection.
Knowl.-Based Syst., 2015

Semi-supervised classification learning by discrimination-aware manifold regularization.
Neurocomputing, 2015

Cumulative attribute relation regularization learning for human age estimation.
Neurocomputing, 2015

Detecting differential expression from RNA-seq data with expression measurement uncertainty.
Frontiers Comput. Sci., 2015

Tri-subjects kinship verification: Understanding the core of a family.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

Web Page Classification Based on Uncorrelated Semi-Supervised Intra-View and Inter-View Manifold Discriminant Feature Extraction.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Label Active Learning: Query Type Matters.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

The FG 2015 Kinship Verification in the Wild Evaluation.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

A general non-local denoising model using multi-kernel-induced measures.
Pattern Recognition, 2014

Eyes closeness detection from still images with multi-scale histograms of principal oriented gradients.
Pattern Recognition, 2014

Bagging-like metric learning for support vector regression.
Knowl.-Based Syst., 2014

Fuzzy classifier based on fuzzy support vector machine.
Journal of Intelligent and Fuzzy Systems, 2014

A Comparative Study: Globality versus Locality for Graph Construction in Discriminant Analysis.
J. Applied Mathematics, 2014

Discriminality-driven regularization framework for indefinite kernel machine.
Neurocomputing, 2014

Comparative study among three strategies of incorporating spatial structures to ordinal image regression.
Neurocomputing, 2014

Attribute relation learning for zero-shot classification.
Neurocomputing, 2014

Linear discriminant analysis with worst between-class separation and average within-class compactness.
Frontiers Comput. Sci., 2014

A unified algorithm for mixed $l_{2, p}$ -minimizations and its application in feature selection.
Comp. Opt. and Appl., 2014

Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease.
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2014

Safety-Aware Semi-Supervised Classification.
IEEE Trans. Neural Netw. Learning Syst., 2013

Analysis of Non-Local Euclidean Medians and Its Improvement.
IEEE Signal Process. Lett., 2013

Three-fold structured classifier design based on matrix pattern.
Pattern Recognition, 2013

A literature survey on robust and efficient eye localization in real-life scenarios.
Pattern Recognition, 2013

Neighborhood Correlation Analysis for Semi-paired Two-View Data.
Neural Processing Letters, 2013

Semi-Supervised Multimodal Relevance Vector Regression Improves Cognitive Performance Estimation from Imaging and Biological Biomarkers.
Neuroinformatics, 2013

Random projection ensemble learning with multiple empirical kernels.
Knowl.-Based Syst., 2013

Multi-view classification with cross-view must-link and cannot-link side information.
Knowl.-Based Syst., 2013

Query-dependent cross-domain ranking in heterogeneous network.
Knowl. Inf. Syst., 2013

Soft large margin clustering.
Inf. Sci., 2013

Regularized soft K-means for discriminant analysis.
Neurocomputing, 2013

A comparative study on local binary pattern (LBP) based face recognition: LBP histogram versus LBP image.
Neurocomputing, 2013

Dimensionality reduction with adaptive graph.
Frontiers Comput. Sci., 2013

Co-metric: a metric learning algorithm for data with multiple views.
Frontiers Comput. Sci., 2013

Stable L2-Regularized Ensemble Feature Weighting.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Manifold-based canonical correlation analysis for wireless sensor network localization.
Wireless Communications and Mobile Computing, 2012

New Semi-Supervised Classification Method Based on Modified Cluster Assumption.
IEEE Trans. Neural Netw. Learning Syst., 2012

Graph optimization for dimensionality reduction with sparsity constraints.
Pattern Recognition, 2012

Simultaneous clustering and classification over cluster structure representation.
Pattern Recognition, 2012

A unified dimensionality reduction framework for semi-paired and semi-supervised multi-view data.
Pattern Recognition, 2012

Plane-Gaussian artificial neural network.
Neural Computing and Applications, 2012

Regularized multi-view learning machine based on response surface technique.
Neurocomputing, 2012

Can under-exploited structure of original-classes help ECOC-based multi-class classification?
Neurocomputing, 2012

Learning Attribute Relation in Attribute-Based Zero-Shot Classification.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

Eyes Closeness Detection Using Appearance Based Methods.
Proceedings of the Intelligent Information Processing VI, 2012

Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Exploiting relationship between attributes for improved face verification.
Proceedings of the British Machine Vision Conference, 2012

Ensemble Feature Weighting Based on Local Learning and Diversity.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Localization with Incompletely Paired Data in Complex Wireless Sensor Network.
IEEE Trans. Wireless Communications, 2011

Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier.
IEEE Trans. Neural Networks, 2011

A novel multi-view learning developed from single-view patterns.
Pattern Recognition, 2011

A structurally motivated framework for discriminant analysis.
Pattern Anal. Appl., 2011

Glocalization pursuit support vector machine.
Neural Computing and Applications, 2011

SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai-Borwein step size.
Neurocomputing, 2011

Two-stage nonparametric kernel leaning: From label propagation to kernel propagation.
Neurocomputing, 2011

Support Vector Machine incorporated with feature discrimination.
Expert Syst. Appl., 2011

A novel multi-view classifier based on Nyström approximation.
Expert Syst. Appl., 2011

Large correlation analysis.
Applied Mathematics and Computation, 2011

Learning to Advertise: How Many Ads Are Enough?
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011

BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent.
Proceedings of the 28th International Conference on Machine Learning, 2011

Generalized low-rank approximations of matrices revisited.
IEEE Trans. Neural Networks, 2010

Semisupervised Kernel Matrix Learning by Kernel Propagation.
IEEE Trans. Neural Networks, 2010

A multiobjective simultaneous learning framework for clustering and classification.
IEEE Trans. Neural Networks, 2010

Sparsity preserving discriminant analysis for single training image face recognition.
Pattern Recognition Letters, 2010

Graph-optimized locality preserving projections.
Pattern Recognition, 2010

Semi-supervised clustering with metric learning: An adaptive kernel method.
Pattern Recognition, 2010

Sparsity preserving projections with applications to face recognition.
Pattern Recognition, 2010

A tree-structured framework for purifying "complex" clusters with structural roles of individual data.
Pattern Recognition, 2010

A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization.
Neural Processing Letters, 2010

SSPS: A Semi-Supervised Pattern Shift for Classification.
Neural Processing Letters, 2010

Disguised Discrimination of Locality-Based Unsupervised Dimensionality Reduction.
IJPRAI, 2010

Structure-Embedded AUC-SVM.
IJPRAI, 2010

Sample-dependent graph construction with application to dimensionality reduction.
Neurocomputing, 2010

An empirical study of two typical locality preserving linear discriminant analysis methods.
Neurocomputing, 2010

Manifold contraction for semi-supervised classification.
SCIENCE CHINA Information Sciences, 2010

Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

Face recognition under occlusions and variant expressions with partial similarity.
IEEE Trans. Information Forensics and Security, 2009

Discriminatively regularized least-squares classification.
Pattern Recognition, 2009

A simultaneous learning framework for clustering and classification.
Pattern Recognition, 2009

Semi-random subspace method for face recognition.
Image Vision Comput., 2009

Proximal support vector machine using local information.
Neurocomputing, 2009

Local ridge regression for face recognition.
Neurocomputing, 2009

Multi-view kernel machine on single-view data.
Neurocomputing, 2009

A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness.
Proceedings of the Sixth International Symposium on Neural Networks, 2009

Learning the Optimal Neighborhood Kernel for Classification.
Proceedings of the IJCAI 2009, 2009

Enhanced Pictorial Structures for precise eye localization under incontrolled conditions.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Matrix-Pattern-Oriented Ho-Kashyap Classifier with Early Stopping.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Discriminative Canonical Correlation Analysis with Missing Samples.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

Heterogeneous cross domain ranking in latent space.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes.
Proceedings of the Computer Vision, 2009

Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector.
IEEE Trans. Neural Networks, 2008

A Scale-Based Connected Coherence Tree Algorithm for Image Segmentation.
IEEE Trans. Image Processing, 2008

Matrix-pattern-oriented least squares support vector classifier with AdaBoost.
Pattern Recognition Letters, 2008

Constraint Score: A new filter method for feature selection with pairwise constraints.
Pattern Recognition, 2008

Classifier learning with a new locality regularization method.
Pattern Recognition, 2008

Fractional order singular value decomposition representation for face recognition.
Pattern Recognition, 2008

A study on three linear discriminant analysis based methods in small sample size problem.
Pattern Recognition, 2008

MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Structural Support Vector Machine.
Proceedings of the Advances in Neural Networks, 2008

Clustering Using Normalized Path-Based Metric.
Proceedings of the Advances in Neural Networks, 2008

A Novel Method of Combined Feature Extraction for Recognition.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Constraint Projections for Ensemble Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion".
IEEE Trans. Neural Networks, 2007

Robust fuzzy relational classifier incorporating the soft class labels.
Pattern Recognition Letters, 2007

Matrix-pattern-oriented Ho-Kashyap classifier with regularization learning.
Pattern Recognition, 2007

Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation.
Pattern Recognition, 2007

New Least Squares Support Vector Machines Based on Matrix Patterns.
Neural Processing Letters, 2007

Locality preserving CCA with applications to data visualization and pose estimation.
Image Vision Comput., 2007

Entropy-Inspired Competitive Clustering Algorithms.
Int. J. Software and Informatics, 2007

Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition.
IJPRAI, 2007

Class label versus sample label-based CCA.
Applied Mathematics and Computation, 2007

Semi-Supervised Dimensionality Reduction.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Exponential Bidirectional Associative Memory Based on Small-world Architecture.
Proceedings of the Third International Conference on Natural Computation, 2007

A Novel Approach of Rough Set-Based Attribute Reduction Using Fuzzy Discernibility Matrix.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Single Image Subspace for Face Recognition.
Proceedings of the Analysis and Modeling of Faces and Gestures, 2007

Non-iterative generalized low rank approximation of matrices.
Pattern Recognition Letters, 2006

Diagonal principal component analysis for face recognition.
Pattern Recognition, 2006

Learning the kernel parameters in kernel minimum distance classifier.
Pattern Recognition, 2006

Face recognition from a single image per person: A survey.
Pattern Recognition, 2006

Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition.
Neural Processing Letters, 2006

Discriminant common vectors versus neighbourhood components analysis and Laplacianfaces: A comparative study in small sample size problem.
Image Vision Comput., 2006

Sub-intrapersonal space analysis for face recognition.
Neurocomputing, 2006

Integrating the improved CBP model with kernel SOM.
Neurocomputing, 2006

Image binarization focusing on objects.
Neurocomputing, 2006

Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns.
Proceedings of the Structural, 2006

Non-negative Matrix Factorization on Kernels.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Recognition from a Single Sample per Person with Multiple SOM Fusion.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Fast Directed Tree Based Neighborhood Clustering Algorithm for Image Segmentation.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Enhanced FMAM based on empirical kernel map.
IEEE Trans. Neural Networks, 2005

Recognizing partially occluded, expression variant faces from single training image per person with SOM and soft k-NN ensemble.
IEEE Trans. Neural Networks, 2005

Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA.
Pattern Recognition Letters, 2005

Modified linear discriminant analysis.
Pattern Recognition, 2005

Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures.
Neural Processing Letters, 2005

Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction.
Neural Processing Letters, 2005

Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction.
Neural Computing and Applications, 2005

Fast image compression using matrix K-L transform.
Neurocomputing, 2005

Adaptively weighted sub-pattern PCA for face recognition.
Neurocomputing, 2005

Seeking multi-thresholds directly from support vectors for image segmentation.
Neurocomputing, 2005

Class-information-incorporated principal component analysis.
Neurocomputing, 2005

A unified SWSI-KAMs framework and performance evaluation on face recognition.
Neurocomputing, 2005

A new face recognition method based on SVD perturbation for single example image per person.
Applied Mathematics and Computation, 2005

Feature Selection for High Dimensional Face Image Using Self-organizing Maps.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Representing Image Matrices: Eigenimages Versus Eigenvectors.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Weighted SOM-Face: Selecting Local Features for Recognition from Individual Face Image.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Resampling LDA/QR and PCA+LDA for Face Recognition.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition.
Proceedings of the Analysis and Modelling of Faces and Gestures, 2005

Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Enhanced (PC)2 A for face recognition with one training image per person
Pattern Recognition Letters, 2004

Subpattern-based principle component analysis.
Pattern Recognition, 2004

Alternative linear discriminant classifier.
Pattern Recognition, 2004

Making FLDA applicable to face recognition with one sample per person.
Pattern Recognition, 2004

Fuzzy-Kernel Learning Vector Quantization.
Proceedings of the Advances in Neural Networks, 2004

Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face.
Proceedings of the Advances in Neural Networks, 2004

Progressive Principal Component Analysis.
Proceedings of the Advances in Neural Networks, 2004

Robust Image Denoising Using Kernel-Induced Measures.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Semi-supervised Kernel-Based Fuzzy C-Means.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Improved CBP Neural Network Model with Applications in Time Series Prediction.
Neural Processing Letters, 2003