Obserwuj
Ivor W. Tsang, IEEE Fellow
Ivor W. Tsang, IEEE Fellow
Inaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STAR
Zweryfikowany adres z ihpc.a-star.edu.sg - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Domain adaptation via transfer component analysis
SJ Pan, IW Tsang, JT Kwok, Q Yang
IEEE transactions on neural networks 22 (2), 199-210, 2010
36392010
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
13142005
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
12552018
Domain transfer multiple kernel learning
L Duan, IW Tsang, D Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (3), 465-479, 2012
5572012
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
5522010
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
4882011
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
4822010
The pre-image problem in kernel methods
JTY Kwok, IWH Tsang
Neural Networks, IEEE Transactions on 15 (6), 1517-1525, 2004
4712004
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
4492010
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
4332019
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
4182013
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
4162008
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
3872013
Learning with augmented features for heterogeneous domain adaptation
L Duan, D Xu, I Tsang
Proceedings of the 29th International Conference on Machine Learning, 2012
3762012
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
3662009
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
3392009
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
3342012
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
3332013
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
2892011
Simpler core vector machines with enclosing balls
IW Tsang, A Kocsor, JT Kwok
Proceedings of the 24th international conference on Machine learning, 911-918, 2007
2702007
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