Songcan Chen

Orcid: 0000-0002-5164-0070

According to our database1, Songcan Chen authored at least 313 papers between 2003 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Robust domain adaptation with noisy and shifted label distribution.
Frontiers Comput. Sci., March, 2025

KD-Crowd: a knowledge distillation framework for learning from crowds.
Frontiers Comput. Sci., January, 2025

Topology reorganized graph contrastive learning with mitigating semantic drift.
Pattern Recognit., 2025

2024
UNM: A Universal Approach for Noisy Multi-Label Learning.
IEEE Trans. Knowl. Data Eng., September, 2024

Dynamic Learnable Logit Adjustment for Long-Tailed Visual Recognition.
IEEE Trans. Circuits Syst. Video Technol., September, 2024

PIE: Physics-Inspired Low-Light Enhancement.
Int. J. Comput. Vis., September, 2024

Towards adaptive unknown authentication for universal domain adaptation by classifier paradox.
Mach. Learn., April, 2024

Unsupervised Multitarget Domain Adaptation With Dictionary-Bridged Knowledge Exploitation.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Contrastive Prototype-Guided Generation for Generalized Zero-Shot Learning.
Neural Networks, 2024

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning.
CoRR, 2024

All-around Neural Collapse for Imbalanced Classification.
CoRR, 2024

Relative Difficulty Distillation for Semantic Segmentation.
CoRR, 2024

A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends.
CoRR, 2024

Dynamic against Dynamic: An Open-Set Self-Learning Framework.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

No Regularization Is Needed: Efficient and Effective Incomplete Label Distribution Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Adaptive Federated Minimax Optimization with Lower Complexities.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

All Beings Are Equal in Open Set Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Mixup-Induced Domain Extrapolation for Domain Generalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Convex Subspace Clustering by Adaptive Block Diagonal Representation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Structure-Aware Subspace Clustering.
IEEE Trans. Knowl. Data Eng., October, 2023

Learning multi-tasks with inconsistent labels by using auxiliary big task.
Frontiers Comput. Sci., October, 2023

Multiplane Convex Proximal Support Vector Machine.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Partial Domain Adaptation Without Domain Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

TIToK: A solution for bi-imbalanced unsupervised domain adaptation.
Neural Networks, July, 2023

Human Collective Intelligence Inspired Multi-View Representation Learning - Enabling View Communication by Simulating Human Communication Mechanism.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

A Similarity-Based Framework for Classification Task.
IEEE Trans. Knowl. Data Eng., May, 2023

Rectified Euler k-means and beyond.
Pattern Recognit., May, 2023

Universum-Inspired Supervised Contrastive Learning.
IEEE Trans. Image Process., 2023

No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning.
CoRR, 2023

Unlocking the Power of Open Set : A New Perspective for Open-set Noisy Label Learning.
CoRR, 2023

Near-Optimal Decentralized Momentum Method for Nonconvex-PL Minimax Problems.
CoRR, 2023

Pushing One Pair of Labels Apart Each Time in Multi-Label Learning: From Single Positive to Full Labels.
CoRR, 2023

PointSmile: Point Self-supervised Learning via Curriculum Mutual Information.
CoRR, 2023

Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ALL-E: Aesthetics-guided Low-light Image Enhancement.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Personalized Federated Semi-Supervised Learning with Black-Box Models.
Proceedings of the IEEE International Conference on Data Mining, 2023

Collective Decision for Open Set Recognition (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Collective Decision for Open Set Recognition.
IEEE Trans. Knowl. Data Eng., 2022

Heterogeneous Domain Adaptation With Structure and Classification Space Alignment.
IEEE Trans. Cybern., 2022

A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition.
IEEE Trans. Cybern., 2022

Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces.
IEEE Trans. Circuits Syst. Video Technol., 2022

Unsupervised domain adaptation with progressive adaptation of subspaces.
Pattern Recognit., 2022

A Concise Yet Effective Model for Non-Aligned Incomplete Multi-View and Missing Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Improving deep label noise learning with dual active label correction.
Mach. Learn., 2022

Self-corrected unsupervised domain adaptation.
Frontiers Comput. Sci., 2022

On the learning dynamics of two-layer quadratic neural networks for understanding deep learning.
Frontiers Comput. Sci., 2022

Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing Labels.
CoRR, 2022

Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition.
CoRR, 2022

Dual-Correction Adaptation Network for Noisy Knowledge Transfer.
CoRR, 2022

View-labels Are Indispensable: A Multifacet Complementarity Study of Multi-view Clustering.
CoRR, 2022

Learning Downstream Task by Selectively Capturing Complementary Knowledge from Multiple Self-supervisedly Learning Pretexts.
CoRR, 2022

Jacobian Norm for Unsupervised Source-Free Domain Adaptation.
CoRR, 2022

Can Adversarial Training Be Manipulated By Non-Robust Features?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Universum-Inspired Supervised Contrastive Learning.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

With False Friends Like These, Who Can Notice Mistakes?
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Structure-Exploiting Discriminative Ordinal Multioutput Regression.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Centroid Auto-Fused Hierarchical Fuzzy c-Means Clustering.
IEEE Trans. Fuzzy Syst., 2021

Expand globally, shrink locally: Discriminant multi-label learning with missing labels.
Pattern Recognit., 2021

Semi-Supervised Multi-View Deep Discriminant Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Recent Advances in Open Set Recognition: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

A comprehensive perspective of contrastive self-supervised learning.
Frontiers Comput. Sci., 2021

Provable Defense Against Delusive Poisoning.
CoRR, 2021

Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs.
CoRR, 2021

Semi-blind compressed sensing via adaptive dictionary learning and one-pass online extension.
Sci. China Inf. Sci., 2021

Crowdsourcing aggregation with deep Bayesian learning.
Sci. China Inf. Sci., 2021

Sign-aware Perturbations Regression.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data.
ACM Trans. Intell. Syst. Technol., 2020

Shared Gaussian Process Latent Variable Model for Incomplete Multiview Clustering.
IEEE Trans. Cybern., 2020

Growing neural gas with random projection method for high-dimensional data stream clustering.
Soft Comput., 2020

Robust convex clustering.
Soft Comput., 2020

Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes.
Pattern Recognit., 2020

Soft large margin clustering for unsupervised domain adaptation.
Knowl. Based Syst., 2020

Discrimination-Aware Domain Adversarial Neural Network.
J. Comput. Sci. Technol., 2020

Distribution agnostic Bayesian matching pursuit based on the exponential embedded family.
Neurocomputing, 2020

Robust nonnegative matrix factorization with structure regularization.
Neurocomputing, 2020

Bayesian compressive principal component analysis.
Frontiers Comput. Sci., 2020

Ordinal factorization machine with hierarchical sparsity.
Frontiers Comput. Sci., 2020

With False Friends Like These, Who Can Have Self-Knowledge?
CoRR, 2020

Leave Zero Out: Towards a No-Cross-Validation Approach for Model Selection.
CoRR, 2020

Global Expanding, Local Shrinking: Discriminant Multi-label Learning with Missing Labels.
CoRR, 2020

Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously.
CoRR, 2020

A Multi-view Perspective of Self-supervised Learning.
CoRR, 2020

Accelerated Stochastic Gradient-free and Projection-free Methods.
Proceedings of the 37th International Conference on Machine Learning, 2020

Uncertainty Aware Graph Gaussian Process for Semi-Supervised Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Gaussian process approach for metric learning.
Pattern Recognit., 2019

A Primal Framework for Indefinite Kernel Learning.
Neural Process. Lett., 2019

Relationships Self-Learning Based Gender-Aware Age Estimation.
Neural Process. Lett., 2019

2D compressed learning: support matrix machine with bilinear random projections.
Mach. Learn., 2019

Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning.
CoRR, 2019

Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

One-Pass Incomplete Multi-View Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Joint Estimation of Multiple Conditional Gaussian Graphical Models.
IEEE Trans. Neural Networks Learn. Syst., 2018

Metric Learning-Guided Least Squares Classifier Learning.
IEEE Trans. Neural Networks Learn. 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. Medical Imaging, 2018

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

Heterogeneous multi-output classification by structured conditional risk minimization.
Pattern Recognit. Lett., 2018

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

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

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

Robust ordinal regression induced by <i>l<sub>p</sub></i>-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.
Comput. Vis. Image Underst., 2018

Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories.
CoRR, 2018

Hierarchical Dirichlet Process-based Open Set Recognition.
CoRR, 2018

Mini-Batch Stochastic ADMMs for Nonconvex Nonsmooth Optimization.
CoRR, 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

2017
Semi-supervised manifold regularization with adaptive graph construction.
Pattern Recognit. Lett., 2017

Joint representation classification for collective face recognition.
Pattern Recognit., 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

2016
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

A Unified Gender-Aware Age Estimation.
CoRR, 2016

A review on Gaussian Process Latent Variable Models.
CAAI Trans. Intell. Technol., 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

2015
FREL: A Stable Feature Selection Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2015

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

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

基于特征偏好的聚类研究 (Research on Clustering with Feature Preferences).
计算机科学, 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

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

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

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

Fuzzy classifier based on fuzzy support vector machine.
J. Intell. Fuzzy Syst., 2014

A Two-Step Regularization Framework for Non-Local Means.
J. Comput. Sci. Technol., 2014

A Comparative Study: Globality versus Locality for Graph Construction in Discriminant Analysis.
J. Appl. Math., 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

Exploiting relationship between attributes for improved face verification.
Comput. Vis. Image Underst., 2014

A unified algorithm for mixed $l_{2, p}$ -minimizations and its application in feature selection.
Comput. Optim. 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

2013
Safety-Aware Semi-Supervised Classification.
IEEE Trans. Neural Networks Learn. 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 Recognit., 2013

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

Neighborhood Correlation Analysis for Semi-paired Two-View Data.
Neural Process. Lett., 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

$l_{2,p}$ Matrix Norm and Its Application in Feature Selection
CoRR, 2013

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

2012
Manifold-based canonical correlation analysis for wireless sensor network localization.
Wirel. Commun. Mob. Comput., 2012

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

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

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

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

Plane-Gaussian artificial neural network.
Neural Comput. Appl., 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

Margin Distribution Controlled Boosting
CoRR, 2012

Metric Learning across Heterogeneous Domains by Respectively Aligning Both Priors and Posteriors
CoRR, 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

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

2011
Localization with Incompletely Paired Data in Complex Wireless Sensor Network.
IEEE Trans. Wirel. Commun., 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 Recognit., 2011

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

Glocalization pursuit support vector machine.
Neural Comput. Appl., 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.
Appl. Math. Comput., 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

2010
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 Recognit. Lett., 2010

Graph-optimized locality preserving projections.
Pattern Recognit., 2010

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

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

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

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

SSPS: A Semi-Supervised Pattern Shift for Classification.
Neural Process. Lett., 2010

Disguised <i>Discrimination</i> of Locality-Based <i>Unsupervised</i> Dimensionality Reduction.
Int. J. Pattern Recognit. Artif. Intell., 2010

Structure-Embedded AUC-SVM.
Int. J. Pattern Recognit. Artif. Intell., 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.
Sci. China Inf. Sci., 2010

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

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

Discriminatively regularized least-squares classification.
Pattern Recognit., 2009

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

Semi-random subspace method for face recognition.
Image Vis. 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

2008
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 Process., 2008

Matrix-pattern-oriented least squares support vector classifier with AdaBoost.
Pattern Recognit. Lett., 2008

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

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

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

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

2007
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 Recognit. Lett., 2007

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

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

New Least Squares Support Vector Machines Based on Matrix Patterns.
Neural Process. Lett., 2007

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

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

Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2007

Class label versus sample label-based CCA.
Appl. Math. Comput., 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

2006
Non-iterative generalized low rank approximation of matrices.
Pattern Recognit. Lett., 2006

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

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

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

Distance-Based Sparse Associative Memory Neural Network Algorithm for Pattern Recognition.
Neural Process. Lett., 2006

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

2005
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 Recognit. Lett., 2005

Modified linear discriminant analysis.
Pattern Recognit., 2005

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

Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction.
Neural Process. Lett., 2005

Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction.
Neural Comput. Appl., 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.
Appl. Math. Comput., 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

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

Enhanced (PC)<sup>2</sup> A for face recognition with one training image per person
Pattern Recognit. Lett., 2004

A comment on "Alternative c-means clustering algorithms".
Pattern Recognit., 2004

Subpattern-based principle component analysis.
Pattern Recognit., 2004

Alternative linear discriminant classifier.
Pattern Recognit., 2004

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

A novel kernelized fuzzy C-means algorithm with application in medical image segmentation.
Artif. Intell. Medicine, 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

2003
Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm.
Neural Process. Lett., 2003

Improved CBP Neural Network Model with Applications in Time Series Prediction.
Neural Process. Lett., 2003

A new method based on SOM network to generate coarse meshes for overlapping unstructured multigrid algorithm.
Appl. Math. Comput., 2003


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