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James T Kwok

Showing results (1-10 of 33) with videos related to

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Neural Computation|May 12, 2009
Density-weighted Nyström method for computing large kernel eigensystemsKai Zhang, James T Kwok
Neural Networks : the Official Journal of the International Neural Network Society|August 10, 2014
Simple randomized algorithms for online learning with kernelsWenwu He, James T Kwok
IEEE Transactions on Neural Networks|September 1, 2010
Clustered Nyström method for large scale manifold learning and dimension reductionKai Zhang, James T Kwok
IEEE Transactions on Neural Networks|February 26, 2010
Simplifying mixture models through function approximationJames T Kwok, Kai Zhang
IEEE Transactions on Neural Networks and Learning Systems|November 25, 2014
Mandatory leaf node prediction in hierarchical multilabel classificationWei Bi, James T Kwok
IEEE Transactions on Neural Networks and Learning Systems|October 25, 2014
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate DescentEn-Liang Hu, James T Kwok
IEEE Transactions on Neural Networks and Learning Systems|August 13, 2019
Low-Rank Matrix Learning Using Biconvex Surrogate MinimizationEn-Liang Hu, James T Kwok
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Efficient sparse modeling with automatic feature groupingLeon Wenliang Zhong, James T Kwok
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 7, 2022
Bilinear Scoring Function Search for Knowledge Graph LearningYongqi Zhang, Quanming Yao, James T Kwok
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 1, 2020
Generalized Convolutional Sparse Coding with Unknown NoiseYaqing Wang, James T Kwok, Lionel M Ni
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Neural Computation|May 12, 2009
Density-weighted Nyström method for computing large kernel eigensystemsKai Zhang, James T Kwok
Neural Networks : the Official Journal of the International Neural Network Society|August 10, 2014
Simple randomized algorithms for online learning with kernelsWenwu He, James T Kwok
IEEE Transactions on Neural Networks|September 1, 2010
Clustered Nyström method for large scale manifold learning and dimension reductionKai Zhang, James T Kwok
IEEE Transactions on Neural Networks|February 26, 2010
Simplifying mixture models through function approximationJames T Kwok, Kai Zhang
IEEE Transactions on Neural Networks and Learning Systems|November 25, 2014
Mandatory leaf node prediction in hierarchical multilabel classificationWei Bi, James T Kwok
IEEE Transactions on Neural Networks and Learning Systems|October 25, 2014
Scalable Nonparametric Low-Rank Kernel Learning Using Block Coordinate DescentEn-Liang Hu, James T Kwok
IEEE Transactions on Neural Networks and Learning Systems|August 13, 2019
Low-Rank Matrix Learning Using Biconvex Surrogate MinimizationEn-Liang Hu, James T Kwok
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Efficient sparse modeling with automatic feature groupingLeon Wenliang Zhong, James T Kwok
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 7, 2022
Bilinear Scoring Function Search for Knowledge Graph LearningYongqi Zhang, Quanming Yao, James T Kwok
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 1, 2020
Generalized Convolutional Sparse Coding with Unknown NoiseYaqing Wang, James T Kwok, Lionel M Ni
Pageof 4