Domain adaptation via transfer component analysis SJ Pan, IW Tsang, JT Kwok, Q Yang IEEE transactions on neural networks 22 (2), 199-210, 2010 | 4695 | 2010 |
Co-teaching: Robust training of deep neural networks with extremely noisy labels B Han, Q Yao, X Yu, G Niu, M Xu, W Hu, I Tsang, M Sugiyama Advances in neural information processing systems 31, 2018 | 2086 | 2018 |
Core vector machines: Fast SVM training on very large data sets. IW Tsang, JT Kwok, PM Cheung, N Cristianini Journal of Machine Learning Research 6 (4), 2005 | 1402 | 2005 |
How does disagreement help generalization against label corruption? X Yu, B Han, J Yao, G Niu, I Tsang, M Sugiyama International conference on machine learning, 7164-7173, 2019 | 768 | 2019 |
Domain transfer multiple kernel learning L Duan, IW Tsang, D Xu IEEE transactions on pattern analysis and machine intelligence 34 (3), 465-479, 2012 | 606 | 2012 |
Local features are not lonely–Laplacian sparse coding for image classification S Gao, IWH Tsang, LT Chia, P Zhao 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 569 | 2010 |
Flexible manifold embedding: A framework for semi-supervised and unsupervised dimension reduction F Nie, D Xu, IWH Tsang, C Zhang IEEE Transactions on Image Processing 19 (7), 1921-1932, 2010 | 539 | 2010 |
The pre-image problem in kernel methods JTY Kwok, IWH Tsang Neural Networks, IEEE Transactions on 15 (6), 1517-1525, 2004 | 495 | 2004 |
Visual event recognition in videos by learning from web data L Duan, D Xu, IWH Tsang, J Luo IEEE Transactions on pattern analysis and machine intelligence 34 (9), 1667-1680, 2011 | 491 | 2011 |
Learning with augmented features for supervised and semi-supervised heterogeneous domain adaptation W Li, L Duan, D Xu, IW Tsang IEEE Transactions on Pattern analysis and machine intelligence 36 (6), 1134-1148, 2013 | 484 | 2013 |
Kernel sparse representation for image classification and face recognition S Gao, IWH Tsang, LT Chia Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 461 | 2010 |
Improved Nyström low-rank approximation and error analysis K Zhang, IW Tsang, JT Kwok Proceedings of the 25th international conference on Machine learning, 1232-1239, 2008 | 438 | 2008 |
Learning with augmented features for heterogeneous domain adaptation L Duan, D Xu, I Tsang Proceedings of the 29th International Conference on Machine Learning, 2012 | 427 | 2012 |
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications S Gao, I Tsang, L Chia Pattern Analysis and Machine Intelligence, IEEE Transactions, 1-1, 2013 | 409 | 2013 |
Region-based saliency detection and its application in object recognition Z Ren, S Gao, LT Chia, IWH Tsang IEEE Transactions on Circuits and Systems for Video Technology 24 (5), 769-779, 2013 | 403 | 2013 |
Domain adaptation from multiple sources via auxiliary classifiers L Duan, IW Tsang, D Xu, TS Chua Proceedings of the 26th annual international conference on machine learning …, 2009 | 394 | 2009 |
Domain Adaptation from Multiple Sources: A Domain-Dependent Regularization Approach L Duan, D Xu, IWH Tsang Neural Networks and Learning Systems, IEEE Transactions on 23 (3), 504 - 518, 2012 | 370 | 2012 |
Domain transfer svm for video concept detection L Duan, IW Tsang, D Xu, SJ Maybank 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1375-1381, 2009 | 353 | 2009 |
Spectral embedded clustering: A framework for in-sample and out-of-sample spectral clustering F Nie, Z Zeng, IW Tsang, D Xu, C Zhang IEEE Transactions on Neural Networks 22 (11), 1796-1808, 2011 | 344 | 2011 |
The Emerging "Big Dimensionality" Y Zhai, Y Ong, I Tsang Computational Intelligence Magazine, IEEE 9 (3), 14-26, 2014 | 289 | 2014 |