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Ivor Wai-hung Tsang

Showing results (1-10 of 18) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|July 23, 2013
A feature selection method for multivariate performance measuresQi Mao, Ivor Wai-Hung Tsang
IEEE Transactions on Neural Networks|November 30, 2004
The pre-image problem in kernel methodsJames Tin-yau Kwok, Ivor Wai-hung Tsang
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 19, 2012
Objective-guided image annotationQi Mao, Ivor Wai-Hung Tsang, Shenghua Gao
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 19, 2013
Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image CategorizationShenghua Gao, Ivor Wai-Hung Tsang, Yi Ma
IEEE Transactions on Neural Networks|March 11, 2006
Efficient hyperkernel learning using second-order cone programmingIvor Wai-hung Tsang, James Tin-yau Kwok
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Domain adaptation from multiple sources: a domain-dependent regularization approachLixin Duan, Dong Xu, Ivor Wai-Hung Tsang
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 7, 2012
Laplacian sparse coding, Hypergraph Laplacian sparse coding, and applicationsShenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 28, 2012
Sparse representation with kernelsShenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
IEEE Transactions on Neural Networks|May 29, 2007
A class of single-class minimax probability machines for novelty detectionJames T Kwok, Ivor Wai-hung Tsang, Jacek M Zurada
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 11, 2010
Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reductionFeiping Nie, Dong Xu, Ivor Wai-Hung Tsang, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 23, 2013
A feature selection method for multivariate performance measuresQi Mao, Ivor Wai-Hung Tsang
IEEE Transactions on Neural Networks|November 30, 2004
The pre-image problem in kernel methodsJames Tin-yau Kwok, Ivor Wai-hung Tsang
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|December 19, 2012
Objective-guided image annotationQi Mao, Ivor Wai-Hung Tsang, Shenghua Gao
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 19, 2013
Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image CategorizationShenghua Gao, Ivor Wai-Hung Tsang, Yi Ma
IEEE Transactions on Neural Networks|March 11, 2006
Efficient hyperkernel learning using second-order cone programmingIvor Wai-hung Tsang, James Tin-yau Kwok
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Domain adaptation from multiple sources: a domain-dependent regularization approachLixin Duan, Dong Xu, Ivor Wai-Hung Tsang
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 7, 2012
Laplacian sparse coding, Hypergraph Laplacian sparse coding, and applicationsShenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|September 28, 2012
Sparse representation with kernelsShenghua Gao, Ivor Wai-Hung Tsang, Liang-Tien Chia
IEEE Transactions on Neural Networks|May 29, 2007
A class of single-class minimax probability machines for novelty detectionJames T Kwok, Ivor Wai-hung Tsang, Jacek M Zurada
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 11, 2010
Flexible manifold embedding: a framework for semi-supervised and unsupervised dimension reductionFeiping Nie, Dong Xu, Ivor Wai-Hung Tsang, et al.
Pageof 2