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Items for Author "Kwok, James Tin-Yau"

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Date of IssueTitle Authors
2004 Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithmZhang, Zhihua; Yeung, Dit-Yan; Kwok, James Tin-Yau
2004 Bayesian inference on principal component analysis using reversible jump Markov chain Monte CarloZhang, Zhihua; Chan, Kap Luk; Kwok, James Tin-Yau; Yeung, Dit-Yan
Jul-2004 Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression modelZhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan
Nov-2004 Fusing images with different focuses using support vector machinesLi, Shutao; Kwok, James Tin-Yau; Tsang, Ivor W.; Wang, Yaonan
Apr-2006 Model-based transductive learning of the kernel matrixZhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan
Jul-2006 Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weightingMak, Brian Kan-Wing; Hsiao, Roger; Ho, Simon; Kwok, James Tin-Yau
2007 Surrogate maximization/minimization algorithms and extensionsZhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan
2007 Surrogate maximization/minimization algorithms and extensionsZhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan
1-May-2007 Sliced coordinate analysis for effective dimension reduction and nonlinear extensionsZhang, Zhihua; Yeung, Dit-Yan; Kwok, James Tin-Yau; Chang, Edward Y.
2009 Maximum margin clustering with multivariate loss functionZhao, Bin; Kwok, James Tin-Yau; Zhang, Changshui
Jul-2009 Domain adaptation via transfer component analysisPan, Sinno Jialin; Tsang, Ivor W.; Kwok, James Tin-Yau; Yang, Qiang
Sep-2009 Maximum penalized likelihood kernel regression for fast adaptationMak, Brian Kan-Wing; Lai, Tsz-Chung; Tsang, I. W.; Kwok, James Tin-Yau
Dec-2009 Accelerated gradient methods for stochastic optimization and online learningHu, Chonghai; Kwok, James Tin-Yau; Pan, Weike
Dec-2009 Accelerated gradient method for multi-task sparse learning problemChen, Xi; Pan, Weike; Kwok, James Tin-Yau; Carbonell, J. G.
2010 Making large-scale Nystro╠łm approximation possibleLi, Mu; Kwok, James Tin-Yau
Feb-2010 Simplifying mixture models through function approximationZhang, Kai; Kwok, James Tin-Yau
Jun-2010 Online multiple instance learning with no regretLi, Mu; Kwok, James Tin-Yau; Lu, Bao-Liang
Jul-2010 Cost-sensitive semi-supervised support vector machineLi, Yu-Feng; Kwok, James Tin-Yau; Zhou, Zhi-Hua
12-Oct-2010 Distributed position estimation for wireless sensor networksChan, Shueng-Han Gary; Cheung, Victor; Wong, Kin-Fung; Tsang, Ivor W.; Kwok, James Tin-Yau
2012 Convex multitask learning with flexible task clustersZhong, Leon Wenliang; Kwok, James Tin-Yau