Ivor W. Tsang

According to our database1, Ivor W. Tsang
  • authored at least 167 papers between 2003 and 2017.
  • has a "Dijkstra number"2 of four.

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Bibliography

2017
Incremental Subgraph Feature Selection for Graph Classification.
IEEE Trans. Knowl. Data Eng., 2017

Partial Hash Update via Hamming Subspace Learning.
IEEE Trans. Image Processing, 2017

Multi-instance dictionary learning via multivariate performance measure optimization.
Pattern Recognition, 2017

Principal Graph and Structure Learning Based on Reversed Graph Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A unified probabilistic framework for robust manifold learning and embedding.
Machine Learning, 2017

An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels.
Journal of Machine Learning Research, 2017

Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions.
Journal of Machine Learning Research, 2017

Online Product Quantization.
CoRR, 2017

Deep Learning from Noisy Image Labels with Quality Embedding.
CoRR, 2017

Sparse Embedded k-Means Clustering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Discovering User Interests from Social Images.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Compact Multiple-Instance Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Latent Smooth Skeleton Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Compressed K-Means for Large-Scale Clustering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Approximate Conditional Gradient Descent on Multi-Class Classification.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Understanding Deep Representations Learned in Modeling Users Likes.
IEEE Trans. Image Processing, 2016

DEFEATnet - A Deep Conventional Image Representation for Image Classification.
IEEE Trans. Circuits Syst. Video Techn., 2016

Making Trillion Correlations Feasible in Feature Grouping and Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Co-Labeling for Multi-View Weakly Labeled Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning word dependencies in text by means of a deep recurrent belief network.
Knowl.-Based Syst., 2016

Transfer Hashing with Privileged Information.
CoRR, 2016

N-ary Error Correcting Coding Scheme.
CoRR, 2016

Simple and Efficient Learning using Privileged Information.
CoRR, 2016

On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent.
CoRR, 2016

On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Transfer Hashing with Privileged Information.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring Latent Network from Cascade Data for Dynamic Social Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Robust Semi-Supervised Learning through Label Aggregation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Optimizing Multivariate Performance Measures from Multi-View Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Sparse Perceptron Decision Tree for Millions of Dimensions.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals.
IEEE Trans. Signal Processing, 2015

Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary.
IEEE Trans. Signal Processing, 2015

Generalized Multiple Kernel Learning With Data-Dependent Priors.
IEEE Trans. Neural Netw. Learning Syst., 2015

A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data.
IEEE Trans. Knowl. Data Eng., 2015

Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP.
IEEE Trans. Evolutionary Computation, 2015

Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems.
Memetic Computing, 2015

A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation.
CoRR, 2015

On the Optimality of Classifier Chain for Multi-label Classification.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Objects co-segmentation: Propagated from simpler images.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Defragging Subgraph Features for Graph Classification.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Large Margin Metric Learning for Multi-Label Prediction.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding.
IEEE Trans. Multimedia, 2014

Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization.
IEEE Trans. Image Processing, 2014

Spectral Embedded Hashing for Scalable Image Retrieval.
IEEE Trans. Cybernetics, 2014

Region-Based Saliency Detection and Its Application in Object Recognition.
IEEE Trans. Circuits Syst. Video Techn., 2014

Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Towards ultrahigh dimensional feature selection for big data.
Journal of Machine Learning Research, 2014

The Emerging ?Big Dimensionality?
IEEE Comp. Int. Mag., 2014

Riemannian Pursuit for Big Matrix Recovery.
Proceedings of the 31th International Conference on Machine Learning, 2014

Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis.
Proceedings of the Computer Vision - ECCV 2014, 2014

Event Detection Using Multi-level Relevance Labels and Multiple Features.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Heterogeneous Domain Adaptation for Multiple Classes.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Robust Domain Adaptation for Relation Extraction via Clustering Consistency.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Deep Representations to Model User 'Likes'.
Proceedings of the Computer Vision - ACCV 2014, 2014

Hybrid Heterogeneous Transfer Learning through Deep Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Soft Margin Multiple Kernel Learning.
IEEE Trans. Neural Netw. Learning Syst., 2013

Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection.
IEEE Trans. Neural Netw. Learning Syst., 2013

Transfer Ordinal Label Learning.
IEEE Trans. Neural Netw. Learning Syst., 2013

Efficient Multitemplate Learning for Structured Prediction.
IEEE Trans. Neural Netw. Learning Syst., 2013

Objective-Guided Image Annotation.
IEEE Trans. Image Processing, 2013

Sparse Representation With Kernels.
IEEE Trans. Image Processing, 2013

Combating Negative Transfer From Predictive Distribution Differences.
IEEE Trans. Cybernetics, 2013

A Feature Selection Method for Multivariate Performance Measures.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Efficient Optimization of Performance Measures by Classifier Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Convex and scalable weakly labeled SVMs.
Journal of Machine Learning Research, 2013

Convex and Scalable Weakly Labeled SVMs
CoRR, 2013

Is Matching Pursuit Solving Convex Problems?
CoRR, 2013

Feature Weighting via Optimal Thresholding for Video Analysis.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Transductive Ordinal Regression.
IEEE Trans. Neural Netw. Learning Syst., 2012

Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach.
IEEE Trans. Neural Netw. Learning Syst., 2012

Laplacian Embedded Regression for Scalable Manifold Regularization.
IEEE Trans. Neural Netw. Learning Syst., 2012

Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement.
IEEE Trans. Multimedia, 2012

Visual Event Recognition in Videos by Learning from Web Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Domain Transfer Multiple Kernel Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Multi-view Positive and Unlabeled Learning.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Relevance vector machine based infinite decision agent ensemble learning for credit risk analysis.
Expert Syst. Appl., 2012

Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation
CoRR, 2012

Meme as Building Block for Evolutionary Optimization of Problem Instances
CoRR, 2012

Learning with Augmented Features for Heterogeneous Domain Adaptation
CoRR, 2012

Parameter-Free Spectral Kernel Learning
CoRR, 2012

Hierarchical Maximum Margin Learning for Multi-Class Classification
CoRR, 2012

Discovering Support and Affiliated Features from Very High Dimensions.
Proceedings of the 29th International Conference on Machine Learning, 2012

A Split-Merge Framework for Comparing Clusterings.
Proceedings of the 29th International Conference on Machine Learning, 2012

Learning with Augmented Features for Heterogeneous Domain Adaptation.
Proceedings of the 29th International Conference on Machine Learning, 2012

Handling Ambiguity via Input-Output Kernel Learning.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Learning Target Predictive Function without Target Labels.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Co-labeling: A New Multi-view Learning Approach for Ambiguous Problems.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Batch mode Adaptive Multiple Instance Learning for computer vision tasks.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Pareto Rank Learning in Multi-objective Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

An evolutionary search paradigm that learns with past experiences.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction.
Proceedings of the Computer Vision - ACCV 2012, 2012

Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2011

Domain Adaptation via Transfer Component Analysis.
IEEE Trans. Neural Networks, 2011

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

Improving Web Image Search by Bag-Based Reranking.
IEEE Trans. Image Processing, 2011

Textual Query of Personal Photos Facilitated by Large-Scale Web Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Two-Layer Multiple Kernel Learning.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

A Family of Simple Non-Parametric Kernel Learning Algorithms.
Journal of Machine Learning Research, 2011

Learning to Locate Relative Outliers.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study.
I. J. Computational Biology and Drug Design, 2011

A Feature Selection Method for Multivariate Performance Measures
CoRR, 2011

Multiple Template Learning for Structured Prediction
CoRR, 2011

Transductive Ordinal Regression
CoRR, 2011

Hierarchical Maximum Margin Learning for Multi-Class Classification.
Proceedings of the UAI 2011, 2011

Maximum Margin/Volume Outlier Detection.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

Infinite Decision Agent Ensemble Learning System for Credit Risk Analysis.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Healing Sample Selection Bias by Source Classifier Selection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Optimizing Performance Measures for Feature Selection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Text-based image retrieval using progressive multi-instance learning.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-layer group sparse coding - For concurrent image classification and annotation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Incorporating the loss function into discriminative clustering of structured outputs.
IEEE Trans. Neural Networks, 2010

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

Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures
CoRR, 2010

Parameter-Free Spectral Kernel Learning.
Proceedings of the UAI 2010, 2010

Predictive Distribution Matching SVM for Multi-domain Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Automatic image tagging via category label and web data.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Location and Scatter Matching for Dataset Shift in Text Mining.
Proceedings of the ICDM 2010, 2010

Kernel Sparse Representation for Image Classification and Face Recognition.
Proceedings of the Computer Vision, 2010

Local features are not lonely - Laplacian sparse coding for image classification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Visual event recognition in videos by learning from web data.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Tag-based web photo retrieval improved by batch mode re-tagging.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Maximum Margin Clustering Made Practical.
IEEE Trans. Neural Networks, 2009

Maximum Penalized Likelihood Kernel Regression for Fast Adaptation.
IEEE Trans. Audio, Speech & Language Processing, 2009

Tighter and Convex Maximum Margin Clustering.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

A Semi-Supervised Framework for Feature Mapping and Multiclass Classification.
Proceedings of the SIAM International Conference on Data Mining, 2009

A Convex Method for Locating Regions of Interest with Multi-instance Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

T-IRS: textual query based image retrieval system for consumer photos.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Using large-scale web data to facilitate textual query based retrieval of consumer photos.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Extracting discriminative concepts for domain adaptation in text mining.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Domain Adaptation via Transfer Component Analysis.
Proceedings of the IJCAI 2009, 2009

Spectral Embedded Clustering.
Proceedings of the IJCAI 2009, 2009

SimpleNPKL: simple non-parametric kernel learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Domain adaptation from multiple sources via auxiliary classifiers.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Domain Transfer SVM for video concept detection.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines.
IEEE Trans. Neural Networks, 2008

Improved Nyström low-rank approximation and error analysis.
Proceedings of the Machine Learning, 2008

2007
A Class of Single-Class Minimax Probability Machines for Novelty Detection.
IEEE Trans. Neural Networks, 2007

SVDD-Based Pattern Denoising.
Neural Computation, 2007

Ensembles of Partially Trained SVMs with Multiplicative Updates.
Proceedings of the IJCAI 2007, 2007

Maximum margin clustering made practical.
Proceedings of the Machine Learning, 2007

Simpler core vector machines with enclosing balls.
Proceedings of the Machine Learning, 2007

2006
Generalized Core Vector Machines.
IEEE Trans. Neural Networks, 2006

Efficient hyperkernel learning using second-order cone programming.
IEEE Trans. Neural Networks, 2006

Large-Scale Sparsified Manifold Regularization.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Efficient kernel feature extraction for massive data sets.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Learning the Kernel in Mahalanobis One-Class Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2006

Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Diversified SVM Ensembles for Large Data Sets.
Proceedings of the Machine Learning: ECML 2006, 2006

2005
Core Vector Machines: Fast SVM Training on Very Large Data Sets.
Journal of Machine Learning Research, 2005

Core Vector Regression for very large regression problems.
Proceedings of the Machine Learning, 2005

Position estimation for wireless sensor networks.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005

Very Large SVM Training using Core Vector Machines.
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005

2004
Fusing images with different focuses using support vector machines.
IEEE Trans. Neural Networks, 2004

The pre-image problem in kernel methods.
IEEE Trans. Neural Networks, 2004

Efficient Hyperkernel Learning Using Second-Order Cone Programming.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
Linear dependency between ε and the input noise in ε-support vector regression.
IEEE Trans. Neural Networks, 2003

The Pre-Image Problem in Kernel Methods.
Proceedings of the Machine Learning, 2003

Learning with Idealized Kernels.
Proceedings of the Machine Learning, 2003


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