Changshui Zhang

According to our database1, Changshui Zhang authored at least 310 papers between 1998 and 2018.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to semi-supervised learning for signal processing".

Timeline

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Bibliography

2018
Image-Text Surgery: Efficient Concept Learning in Image Captioning by Generating Pseudopairs.
IEEE Trans. Neural Netw. Learning Syst., 2018

Optimizing Top-k Multiclass SVM via Semismooth Newton Algorithm.
IEEE Trans. Neural Netw. Learning Syst., 2018

On the Generalization Ability of Online Gradient Descent Algorithm Under the Quadratic Growth Condition.
IEEE Trans. Neural Netw. Learning Syst., 2018

Top Downloads in IEEE Xplore [Reader's Choice].
IEEE Signal Process. Mag., 2018

A New Anchor-Labeling Method For Oriented Text Detection Using Dense Detection Framework.
IEEE Signal Process. Lett., 2018

Listen and Look: Audio-Visual Matching Assisted Speech Source Separation.
IEEE Signal Process. Lett., 2018

Attribute-Based Synthetic Network (ABS-Net): Learning more from pseudo feature representations.
Pattern Recognition, 2018

Leveraging mixed and incomplete outcomes via reduced-rank modeling.
J. Multivariate Analysis, 2018

Deep transformer: A framework for 2D text image rectification from planar transformations.
Neurocomputing, 2018

Robust finite mixture regression for heterogeneous targets.
Data Min. Knowl. Discov., 2018

Deep Generative Adversarial Networks for the Sparse Signal Denoising.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-Scale Recurrent Neural Network for Sound Event Detection.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Hands-On Learning Through Racing: Signal processing and engineering education through the China National Collegiate Intelligent Model Car Competition.
IEEE Signal Process. Mag., 2017

Special Article Series on Signal Processing Education via Hands-On and Design Projects [From the Guest Editors].
IEEE Signal Process. Mag., 2017

A faster cutting plane algorithm with accelerated line search for linear SVM.
Pattern Recognition, 2017

Aligning Where to See and What to Tell: Image Captioning with Region-Based Attention and Scene-Specific Contexts.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Current trends in the development of intelligent unmanned autonomous systems.
Frontiers of IT & EE, 2017

Fast Branch Convolutional Neural Network for Traffic Sign Recognition.
IEEE Intell. Transport. Syst. Mag., 2017

An in-field automatic wheat disease diagnosis system.
Computers and Electronics in Agriculture, 2017

Metric learning based data augmentation for environmental sound classification.
Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Rare Chinese character recognition by Radical Extraction Network.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Robust text image alignment with template for information retrieval.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Learning Efficient Convolutional Networks through Network Slimming.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep ranking: Triplet MatchNet for music metric learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

End-to-end Chinese text recognition.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Recurrent Convolutional Neural Networks for Continuous Sign Language Recognition by Staged Optimization.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Real-Time Traffic Light Detection With Adaptive Background Suppression Filter.
IEEE Trans. Intelligent Transportation Systems, 2016

Location Signatures That You Don't See: Highlights from the IEEE Signal Processing Cup 2016 Student Competition [SP Education].
IEEE Signal Process. Mag., 2016

DeepFish: Accurate underwater live fish recognition with a deep architecture.
Neurocomputing, 2016

Online kernel learning with nearly constant support vectors.
Neurocomputing, 2016

Cyborg Intelligence: Recent Progress and Future Directions.
IEEE Intelligent Systems, 2016

Learning with only multiple instance positive bags.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Poster Paper: Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

2015
Dependent Online Kernel Learning With Constant Number of Random Fourier Features.
IEEE Trans. Neural Netw. Learning Syst., 2015

Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information.
IEEE Trans. Geoscience and Remote Sensing, 2015

Relaxed sparse eigenvalue conditions for sparse estimation via non-convex regularized regression.
Pattern Recognition, 2015

Large-scale eigenvector approximation via Hilbert Space Embedding Nyström.
Pattern Recognition, 2015

A novel unsupervised approach to discovering regions of interest in traffic images.
Pattern Recognition, 2015

Incremental multiple instance outlier detection.
Neural Computing and Applications, 2015

Solving one-class problem with outlier examples by SVM.
Neurocomputing, 2015

Damping proximal coordinate descent algorithm for non-convex regularization.
Neurocomputing, 2015

Tree-based compact hashing for approximate nearest neighbor search.
Neurocomputing, 2015

Image Deblurring with Coupled Dictionary Learning.
International Journal of Computer Vision, 2015

A Real-Time Hand Pose Estimation System with Retrieval.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Visual Tracking via Part-Based Model with Auxiliary Objects.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Graph-Based Semi-Supervised Learning on Evolutionary Data.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Automatic Methods for Screening and Assessing Scoliosis by 2-D Digital Images.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015

2014
Traffic Sign Recognition With Hinge Loss Trained Convolutional Neural Networks.
IEEE Trans. Intelligent Transportation Systems, 2014

Regularized Tree Partitioning and Its Application to Unsupervised Image Segmentation.
IEEE Trans. Image Processing, 2014

Multiple rank multi-linear SVM for matrix data classification.
Pattern Recognition, 2014

Learning high-dimensional correspondence via manifold learning and local approximation.
Neural Computing and Applications, 2014

Single Remote Sensing Image Dehazing.
IEEE Geosci. Remote Sensing Lett., 2014

Special issue on the Sino-foreign-interchange workshop on intelligence science and intelligent data engineering.
Neurocomputing, 2014

Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Domain Transfer via Multiple Sources Regularization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Seeing the Arrow of Time.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Hand segmentation with metric learning superpixels.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

Training Deep Belief Network with Sparse Hidden Units.
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014

Exploiting the Limits of Structure Learning via Inherent Symmetry.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Non-Asymptotic Analysis of Relational Learning with One Network.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
On the Sample Complexity of Random Fourier Features for Online Learning: How Many Random Fourier Features Do We Need?
TKDD, 2013

Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning.
Neural Computing and Applications, 2013

Learning a subspace for clustering via pattern shrinking.
Inf. Process. Manage., 2013

SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Methods for Photomosaic Generation Based on Different Image Similarity and Division Strategies.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

Robust non-negative matrix factorization via joint sparse and graph regularization.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems.
Proceedings of the 30th International Conference on Machine Learning, 2013

Efficient blind separation of reflection layers with nonparametric transformations.
Proceedings of the IEEE International Conference on Acoustics, 2013

Music playlist prediction via detecting song moods.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Automatic Elements Extraction of Chinese Web News Using Prior Information of Content and Structure.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection.
IEEE Trans. Neural Netw. Learning Syst., 2012

Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction.
Pattern Recognition Letters, 2012

Image deblurring with matrix regression and gradient evolution.
Pattern Recognition, 2012

Efficient Nonnegative Matrix Factorization via projected Newton method.
Pattern Recognition, 2012

Blind Separation of Superimposed Moving Images Using Image Statistics.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

A general framework for transfer sparse subspace learning.
Neural Computing and Applications, 2012

Gabor face recognition by multi-channel classifier fusion of supervised kernel manifold learning.
Neurocomputing, 2012

A brief introduction to the special issue for ISNN2010.
Neurocomputing, 2012

Multi-Stage Multi-Task Feature Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Robust multi-task feature learning.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Learning similarity metric with SVM.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Efficient Multi-Stage Conjugate Gradient for Trust Region Step.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Regression Reformulations of LLE and LTSA With Locally Linear Transformation.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Unsupervised Large Margin Discriminative Projection.
IEEE Trans. Neural Networks, 2011

Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering.
IEEE Trans. Neural Networks, 2011

Semisupervised Learning Using Negative Labels.
IEEE Trans. Neural Networks, 2011

Interactive Image Segmentation With Multiple Linear Reconstructions in Windows.
IEEE Trans. Multimedia, 2011

Active learning with adaptive regularization.
Pattern Recognition, 2011

Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection.
Neurocomputing, 2011

Mining interlacing manifolds in high dimensional spaces.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

Topic model with constrainted word burstiness intensities.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A Fast Dual Projected Newton Method for l1-Regularized Least Squares.
Proceedings of the IJCAI 2011, 2011

Patterns classification of nonlinear multi-dimensional time series based on manifold learning.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
Linear time maximum margin clustering.
IEEE Trans. Neural Networks, 2010

TurboPixel Segmentation Using Eigen-Images.
IEEE Trans. Image Processing, 2010

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction.
IEEE Trans. Image Processing, 2010

Multiple Fundamental Frequency Estimation by Modeling Spectral Peaks and Non-Peak Regions.
IEEE Trans. Audio, Speech & Language Processing, 2010

Interactive localized content based image retrieval with multiple-instance active learning.
Pattern Recognition, 2010

A multilevel approach for learning from labeled and unlabeled data on graphs.
Pattern Recognition, 2010

Multiple view semi-supervised dimensionality reduction.
Pattern Recognition, 2010

Semi-Supervised Classification via Local Spline Regression.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

A general graph-based semi-supervised learning with novel class discovery.
Neural Computing and Applications, 2010

A general kernelization framework for learning algorithms based on kernel PCA.
Neurocomputing, 2010

Boosting with pairwise constraints.
Neurocomputing, 2010

Learning Kernels with Radiuses of Minimum Enclosing Balls.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Homotopy Regularization for Boosting.
Proceedings of the ICDM 2010, 2010

Learning to rank tags.
Proceedings of the 9th ACM International Conference on Image and Video Retrieval, 2010

Compressed Learning with Regular Concept.
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

Multitask Bregman Clustering.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Learning Discriminative Piecewise Linear Models with Boundary Points.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

What if the Irresponsible Teachers Are Dominating?
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Block-Quantized Support Vector Ordinal Regression.
IEEE Trans. Neural Networks, 2009

Trace Ratio Problem Revisited.
IEEE Trans. Neural Networks, 2009

Nonlinear Dimensionality Reduction with Local Spline Embedding.
IEEE Trans. Knowl. Data Eng., 2009

Interactive Natural Image Segmentation via Spline Regression.
IEEE Trans. Image Processing, 2009

Learning an Orthogonal and Smooth Subspace for Image Classification.
IEEE Signal Process. Lett., 2009

marginFace: A novel face recognition method by average neighborhood margin maximization.
Pattern Recognition, 2009

Fast nonlinear autocorrelation algorithm for source separation.
Pattern Recognition, 2009

Extracting the optimal dimensionality for local tensor discriminant analysis.
Pattern Recognition, 2009

Semi-supervised orthogonal discriminant analysis via label propagation.
Pattern Recognition, 2009

Front-view vehicle detection by Markov chain Monte Carlo method.
Pattern Recognition, 2009

Stable local dimensionality reduction approaches.
Pattern Recognition, 2009

Linear Neighborhood Propagation and Its Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images.
Pattern Anal. Appl., 2009

Soft Constraint Harmonic Energy Minimization for Transductive Learning and its Two Interpretations.
Neural Processing Letters, 2009

A new approach to discover interlacing data structures in high-dimensional space.
J. Intell. Inf. Syst., 2009

Analysis of classification margin for classification accuracy with applications.
Neurocomputing, 2009

Multiple Kernel Clustering.
Proceedings of the SIAM International Conference on Data Mining, 2009

Efficient Active Learning with Boosting.
Proceedings of the SIAM International Conference on Data Mining, 2009

A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography.
Proceedings of the International Joint Conference on Neural Networks, 2009

On-line Evolutionary Exponential Family Mixture.
Proceedings of the IJCAI 2009, 2009

Knowledge Transfer on Hybrid Graph.
Proceedings of the IJCAI 2009, 2009

Spectral Embedded Clustering.
Proceedings of the IJCAI 2009, 2009

Semi-Supervised Classification on Evolutionary Data.
Proceedings of the IJCAI 2009, 2009

Selecting Informative Universum Sample for Semi-Supervised Learning.
Proceedings of the IJCAI 2009, 2009

Compressed Spectral Clustering.
Proceedings of the ICDM Workshops 2009, 2009

Maximum Margin Clustering with Multivariate Loss Function.
Proceedings of the ICDM 2009, 2009

Probabilistic Labeled Semi-supervised SVM.
Proceedings of the ICDM Workshops 2009, 2009

Sparse Norm-Regularized Reconstructive Coefficients Learning.
Proceedings of the ICDM 2009, 2009

Kernel K-means Based Framework for Aggregate Outputs Classification.
Proceedings of the ICDM Workshops 2009, 2009

Beyond Banditron: A Conservative and Efficient Reduction for Online Multiclass Prediction with Bandit Setting Model.
Proceedings of the ICDM 2009, 2009

Unsupervised Maximum Margin Feature Selection with manifold regularization.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Blind separation of superimposed images with unknown motions.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Efficient multi-label classification with hypergraph regularization.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Efficient multi-class unlabeled constrained semi-supervised SVM.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Instance- and bag-level manifold regularization for aggregate outputs classification.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Semisupervised Learning Based on Generalized Point Charge Models.
IEEE Trans. Neural Networks, 2008

Content-Based Information Fusion for Semi-Supervised Music Genre Classification.
IEEE Trans. Multimedia, 2008

Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling.
IEEE Trans. Audio, Speech & Language Processing, 2008

Semi-supervised sub-manifold discriminant analysis.
Pattern Recognition Letters, 2008

Learning a Mahalanobis distance metric for data clustering and classification.
Pattern Recognition, 2008

Contour graph based human tracking and action sequence recognition.
Pattern Recognition, 2008

The random electrode selection ensemble for EEG signal classification.
Pattern Recognition, 2008

A unified framework for semi-supervised dimensionality reduction.
Pattern Recognition, 2008

MACBSE: Extracting signals with linear autocorrelations.
Neurocomputing, 2008

Efficient Maximum Margin Clustering via Cutting Plane Algorithm.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-Supervised Classification with Universum.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-Supervised Clustering via Matrix Factorization.
Proceedings of the SIAM International Conference on Data Mining, 2008

Semi-supervised Multi-label Learning by Solving a Sylvester Equation.
Proceedings of the SIAM International Conference on Data Mining, 2008

Transferred Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Distortion-Free Nonlinear Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Finding image exemplars using fast sparse affinity propagation.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Cuts3vm: a fast semi-supervised svm algorithm.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Collective Annotation of Music from Multiple Semantic Categories.
Proceedings of the ISMIR 2008, 2008

Collaborative learning by boosting in distributed environments.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Local Regularized Least-Square Dimensionality Reduction.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Efficient multiclass maximum margin clustering.
Proceedings of the Machine Learning, 2008

Audio tonality mode classification without tonic annotations.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Localized content based image retrieval by multiple instance active learning.
Proceedings of the International Conference on Image Processing, 2008

Learning distance metric for semi-supervised image segmentation.
Proceedings of the International Conference on Image Processing, 2008

Augmented tree partitioning for interactive image segmentation.
Proceedings of the International Conference on Image Processing, 2008

Equivalence Knowledge Mass and Approximate Reasoning in -Logic (I).
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Maximum Margin Embedding.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Active model selection for Graph-Based Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2008

Towards optimal query design for relevance feedback in image retrieval.
Proceedings of the IEEE International Conference on Acoustics, 2008

Normalized tree partitioning for image segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Blindly separating mixtures of multiple layers with spatial shifts.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Transductive object cutout.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Semi-supervised metric learning by maximizing constraint margin.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Semi-supervised ranking aggregation.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

Multi-View Local Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

On Discriminative Semi-Supervised Classification.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Semi-supervised Classification Using Local and Global Regularization.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Trace Ratio Criterion for Feature Selection.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Instance-level Semisupervised Multiple Instance Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Blind Source Extraction Using Generalized Autocorrelations.
IEEE Trans. Neural Networks, 2007

The Selective Random Subspace Predictor for Traffic Flow Forecasting.
IEEE Trans. Intelligent Transportation Systems, 2007

Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs.
IEEE Trans. Biomed. Engineering, 2007

An experimental evaluation of ensemble methods for EEG signal classification.
Pattern Recognition Letters, 2007

An evolutionary system for near-regular texture synthesis.
Pattern Recognition, 2007

Face recognition using spectral features.
Pattern Recognition, 2007

Semi-Supervised Mean Fields.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Robust self-tuning semi-supervised learning.
Neurocomputing, 2007

Nonlinear innovation to blind source separation.
Neurocomputing, 2007

Semi-blind source extraction for fetal electrocardiogram extraction by combining non-Gaussianity and time-correlation.
Neurocomputing, 2007

Regularized clustering for documents.
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007

Fast Multilevel Transduction on Graphs.
Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Embedding New Data Points for Manifold Learning Via Coordinate Propagation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Interactive Visual Object Extraction Based on Belief Propagation.
Proceedings of the Advances in Multimedia Modeling, 2007

Combining stroke-based and selection-based relevance feedback for content-based image retrieval.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Neighborhood MinMax Projections.
Proceedings of the IJCAI 2007, 2007

Generalized Additive Bayesian Network Classifiers.
Proceedings of the IJCAI 2007, 2007

A Fixed-Point Algorithm for Blind Separation of Temporally Correlated Sources.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Multi-Pitch Estimation Based on Partial Event and Support Transfer.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Multilevel Belief Propagation for Fast Inference on Markov Random Fields.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Smoothness Maximization via Gradient Descents.
Proceedings of the IEEE International Conference on Acoustics, 2007

Semi-Supervised Music Genre Classification.
Proceedings of the IEEE International Conference on Acoustics, 2007

Extracting the Optimal Dimensionality for Discriminant Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2007

Semi-definite Manifold Alignment.
Proceedings of the Machine Learning: ECML 2007, 2007

Discriminant Additive Tangent Spaces for Object Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Feature Extraction by Maximizing the Average Neighborhood Margin.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Ranking with semi-supervised distance metric learning and its application to housing potential estimation.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Localized Content-Based Image Retrieval Using Semi-Supervised Multiple Instance Learning.
Proceedings of the Computer Vision, 2007

Clustering with Local and Global Regularization.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
A bayesian network approach to traffic flow forecasting.
IEEE Trans. Intelligent Transportation Systems, 2006

Generalized Manifold-Ranking-Based Image Retrieval.
IEEE Trans. Image Processing, 2006

Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs.
IEEE Trans. Biomed. Engineering, 2006

Classification of gene-expression data: The manifold-based metric learning way.
Pattern Recognition, 2006

Adaptive feature extraction for EEG signal classification.
Med. Biol. Engineering and Computing, 2006

An optimal kernel feature extractor and its application to EEG signal classification.
Neurocomputing, 2006

Gaussian moments for noisy complexity pursuit.
Neurocomputing, 2006

Manifold-Ranking-Based Keyword Propagation for Image Retrieval.
EURASIP J. Adv. Sig. Proc., 2006

Graph Based Multi-class Semi-supervised Learning Using Gaussian Process.
Proceedings of the Structural, 2006

A Random Walks Method for Text Classification.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Estimating Fractal Intrinsic Dimension from the Neighborhood.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Machine Learning Way for Boosting Accuracy in Canonical Correlation Analysis based Frequency Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2006

Label propagation through linear neighborhoods.
Proceedings of the Machine Learning, 2006

Spline Embedding for Nonlinear Dimensionality Reduction.
Proceedings of the Machine Learning: ECML 2006, 2006

Semi-Supervised Classification Using Linear Neighborhood Propagation.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Contour Matching Based on Belief Propagation.
Proceedings of the Computer Vision, 2006

Exemplar-Based Human Contour Tracking.
Proceedings of the Computer Vision, 2006

Texture Image Segmentation: An Interactive Framework Based on Adaptive Features and Transductive Learning.
Proceedings of the Computer Vision, 2006

2005
Active curve axis Gaussian mixture models.
Pattern Recognition, 2005

Exploring the structure of supervised data by Discriminant Isometric Mapping.
Pattern Recognition, 2005

Visual object recognition using probabilistic kernel subspace similarity.
Pattern Recognition, 2005

Importance Feature Sampling in Random Subspace.
Proceedings of The 2005 International Conference on Computer Vision, 2005

Separation of Music Signals by Harmonic Structure Modeling.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Learning No-Reference Quality Metric by Examples.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Graph based multi-modality learning.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Finite Mixture Models with Negative Components.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

A New Approach to Human Motion Sequence Recognition with Application to Diving Actions.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Mixture Random Effect Model Based Meta-analysis for Medical Data Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Multiple random walk and its application in content-based image retrieval.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

Boosting GMM and Its Two Applications.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Using a Random Subspace Predictor to Integrate Spatial and Temporal Information for Traffic Flow Forecasting.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Separation of Voice and Music by Harmonic Structure Stability Analysis.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

On the Scale-Free Intersection Graphs.
Proceedings of the Computational Science and Its Applications, 2005

Assessing features for electroencephalographic signal categorization.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Boosting Web Image Search by Co-Ranking.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Multi-view EM Algorithm for Finite Mixture Models.
Proceedings of the Pattern Recognition and Data Mining, 2005

A Bayesian Method for High-Frequency Restoration of Low Sample-Rate Speech.
Proceedings of the Pattern Recognition and Data Mining, 2005

Spectral Clustering for Time Series.
Proceedings of the Pattern Recognition and Data Mining, 2005

Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Type-I Topological Logic C1I and Approximate Reasoning.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Type II Topological Logic C1T and Approximate Reasoning.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

On the On-line Learning Algorithms for EEG Signal Classification in Brain Computer Interfaces.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

Network Game and Boosting.
Proceedings of the Machine Learning: ECML 2005, 2005

Fault-Tolerant EM Algorithm for GMM in Sensor Networks.
Proceedings of The 2005 International Conference on Data Mining, 2005

Network Boosting for BCI Applications.
Proceedings of the Discovery Science, 8th International Conference, 2005

Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces.
Proceedings of the Discovery Science, 8th International Conference, 2005

A Unified Optimization Based Learning Method for Image Retrieval.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Fingerprint Ridge Line Extraction Based on Tracing and Directional Feedback.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Erratum to "Distance metric learning by knowledge embedding" [Pattern Recognition 37(1)161-163(2004)].
Pattern Recognition, 2004

Distance metric learning by knowledge embedding.
Pattern Recognition, 2004

Competitive EM algorithm for finite mixture models.
Pattern Recognition, 2004

Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction.
Pattern Recognition, 2004

Extended Nearest Feature Line Classifier.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Classification of Digital Photos Taken by Photographers or Home Users.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Automatic Peak Number Detection in Image Symmetry Analysis.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Manifold-ranking based image retrieval.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Mean version space: a new active learning method for content-based image retrieval.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

Short-Term Traffic Flow Forecasting Using Expanded Bayesian Network for Incomplete Data.
Proceedings of the Advances in Neural Networks, 2004

A New Adaptive Self-Organizing Map.
Proceedings of the Advances in Neural Networks, 2004

Learning the Supervised NLDR Mapping for Classification.
Proceedings of the Advances in Neural Networks, 2004

Session Identification Based on Time Interval in Web Log Mining.
Proceedings of the Intelligent Information Processing II, 2004

Classifier Combination based on Active Learning.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Relevant Linear Feature Extraction Using Side-information and Unlabeled Data.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

W-Boost and Its Application to Web Image Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Probabilistic tangent subspace: a unified view.
Proceedings of the Machine Learning, 2004

Multi-view EM algorithm and its application to color image segmentation.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Blur detection for digital images using wavelet transform.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

No-reference quality assessment for JPEG2000 compressed images.
Proceedings of the 2004 International Conference on Image Processing, 2004

Symmetry feature in content-based image retrieval.
Proceedings of the 2004 International Conference on Image Processing, 2004

Switching ARIMA model based forecasting for traffic flow.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Mamdanian logic.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Active Morphable Model: An Efficient Method for Face Analysis.
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data.
Proceedings of the Machine Learning: ECML 2004, 2004

Tunable Nearest Neighbor Classifier.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Kernel GMM and its application to image binarization.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Clustering in Knowledge Embedded Space.
Proceedings of the Machine Learning: ECML 2003, 2003

Color Image Segmentation: Kernel Do the Feature Space.
Proceedings of the Machine Learning: ECML 2003, 2003

A Multi-agent Based approach to Modelling and Rendering of 3D Tree Bark Textures.
Proceedings of the Advances in Artificial Life, 7th European Conference, 2003

Discovery of Relationships between Interests from Bulletin Board System by Dissimilarity Reconstruction.
Proceedings of the Discovery Science, 6th International Conference, 2003

An Analytical Mapping for LLE and Its Application in Multi-Pose Face Synthesis.
Proceedings of the British Machine Vision Conference, 2003

Kernel Trick Embedded Gaussian Mixture Model.
Proceedings of the Algorithmic Learning Theory, 14th International Conference, 2003

2002
Hierarchical Shape Modeling for Automatic Face Localization.
Proceedings of the Computer Vision, 2002

2001
Palmprint recognition using crease.
Proceedings of the 2001 International Conference on Image Processing, 2001

Automated Cartridge Identification for Firearm Authentication.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

A Two-Step Approach to Hallucinating Faces: Global Parametric Model and Local Nonparametric Model.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
AR model for keystroker verification.
Proceedings of the IEEE International Conference on Systems, 2000

A Novel Algorithm for Rotated Human Face Detection.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1998
A fully automated face recognition system under different conditions.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998


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