- Distance Metric Learning with Kernels Ivor W. Tsang and James T. Kwok
- Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets Mingkui Tan TANMINGKUI@GMAIL.COM
- Domain Adaptation via Transfer Component Analysis
- Predictive Distribution Matching SVM for Multi-domain Learning
- Tag-based Web Photo Retrieval Improved by Batch Mode Re-Tagging Lin Chen Dong Xu Ivor W. Tsang
- 1372 IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 17, NO. 7, SEPTEMBER 2009 Maximum Penalized Likelihood Kernel
- Journal of Machine Learning Research 12 (2011) 1313-1347 Submitted 3/10; Revised 10/10; Published 4/11 A Family of Simple Non-Parametric Kernel Learning Algorithms
- Core Vector Regression for Very Large Regression Problems Ivor W. Tsang ivor@cs.ust.hk
- The Pre-Image Problem in Kernel Methods James T. Kwok, Ivor W. Tsang
- Using Large-Scale Web Data to Facilitate Textual Query Based Retrieval of Consumer Photos
- Learning the Kernel in Mahalanobis One-Class Support Vector Machines
- Visual Event Recognition in Videos by Learning from Web Data Lixin Duan Dong Xu Ivor W. Tsang
- A Semi-Supervised Framework for Feature Mapping and Multiclass Classification
- IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. XX,NO. YY, MONTH 2003 1 Linear Dependency Between
- Simpler Core Vector Machines with Enclosing Balls Ivor W. Tsang IVOR@CSE.UST.HK
- Location and Scatter Matching for Dataset Shift in Text Mining Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
- Parameter-Free Spectral Kernel Learning School of Computer Engineering
- Kernel Sparse Representation for Image Classification and Face Recognition
- Domain Transfer SVM for Video Concept Detection Lixin Duan1
- Extracting Discriminative Concepts for Domain Adaptation in Text Mining
- Maximum Margin Clustering Made Practical Kai Zhang twinsen@cse.ust.hk
- Domain Adaptation from Multiple Sources via Auxiliary Classifiers Lixin Duan S080003@NTU.EDU.SG
- Local Features Are Not Lonely Laplacian Sparse Coding for Image Classification
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 7, JULY 2010 1921 Flexible Manifold Embedding: A Framework
- Ensembles of Partially Trained SVMs with Multiplicative Updates Ivor W. Tsang James T. Kwok
- T-IRS: Textual Query Based Image Retrieval System for Consumer Photos
- Spectral Embedded Clustering Feiping Nie1,2
- Textual Query of Personal Photos Facilitated by Large-Scale Web Data
- Automatic Image Tagging via Category Label and Web Data Shenghua Gao, Zhengxiang Wang, Liang-Tien Chia, Ivor Wai-Hung Tsang
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. X, NO. X, XXX 2010 1 Textual Query of Personal Photos Facilitated by
- Two-Layer Multiple Kernel Learning Jinfeng Zhuang Ivor W. Tsang Steven C.H. Hoi
- Hierarchical Maximum Margin Learning for Multi-Class Classification
- Multi-layer Group Sparse Coding for Concurrent Image Classification and Annotation
- Text-Based Image Retrieval using Progressive Multi-Instance Learning Wen Li Lixin Duan Dong Xu Ivor Wai-Hung Tsang
- Domain Transfer Multiple Kernel Learning Lixin Duan, Ivor W. Tsang, and Dong Xu, Member, IEEE
- 3280 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 11, NOVEMBER 2011 Improving Web Image Search by
- Visual Event Recognition in Videos by Learning from Web Data
- JMLR: Workshop and Conference Proceedings 20 (2011) 116 Asian Conference on Machine Learning Learning to Locate Relative Outliers
- Sparse SVM FGM Experiments Structural Feature Selection for Very High
- Maximum Margin/Volume Outlier Detection Shukai Li, Ivor W. Tsang
- This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS 1
- Optimizing Performance Measures for Feature Selection Qi Mao and Ivor Wai-Hung Tsang
- Copyright (c) 2011 IEEE. Personal use is permitted. For any other purposes, permission must be obtained from the IEEE by emailing pubs-permissions@ieee.org. This article has been accepted for publication in a future issue of this journal, but has not been
- Healing Sample Selection Bias by Source Classifier Selection Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong
- This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1
