Showing 19 items.
| Date of Issue | Title |
Authors |
|---|
| 2004 | Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm | Zhang, Zhihua; Yeung, Dit-Yan; Kwok, James Tin-Yau |
| 2004 | Bayesian inference on principal component analysis using reversible jump Markov chain Monte Carlo | Zhang, Zhihua; Chan, Kap Luk; Kwok, James Tin-Yau; Yeung, Dit-Yan |
| Jul-2004 | Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model | Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan |
| Nov-2004 | Fusing images with different focuses using support vector machines | Li, Shutao; Kwok, James Tin-Yau; Tsang, Ivor W.; Wang, Yaonan |
| Apr-2006 | Model-based transductive learning of the kernel matrix | Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan |
| Jul-2006 | Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting | Mak, Brian Kan-Wing; Hsiao, Roger; Ho, Simon; Kwok, James Tin-Yau |
| 2007 | Surrogate maximization/minimization algorithms and extensions | Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan |
| 2007 | Surrogate maximization/minimization algorithms and extensions | Zhang, Zhihua; Kwok, James Tin-Yau; Yeung, Dit-Yan |
| 1-May-2007 | Sliced coordinate analysis for effective dimension reduction and nonlinear extensions | Zhang, Zhihua; Yeung, Dit-Yan; Kwok, James Tin-Yau; Chang, Edward Y. |
| 2009 | Maximum margin clustering with multivariate loss function | Zhao, Bin; Kwok, James Tin-Yau; Zhang, Changshui |
| Jul-2009 | Domain adaptation via transfer component analysis | Pan, Sinno Jialin; Tsang, Ivor W.; Kwok, James Tin-Yau; Yang, Qiang |
| Sep-2009 | Maximum penalized likelihood kernel regression for fast adaptation | Mak, Brian Kan-Wing; Lai, Tsz-Chung; Tsang, I. W.; Kwok, James Tin-Yau |
| Dec-2009 | Accelerated gradient methods for stochastic optimization and online learning | Hu, Chonghai; Kwok, James Tin-Yau; Pan, Weike |
| Dec-2009 | Accelerated gradient method for multi-task sparse learning problem | Chen, Xi; Pan, Weike; Kwok, James Tin-Yau; Carbonell, J. G. |
| 2010 | Making large-scale Nyström approximation possible | Li, Mu; Kwok, James Tin-Yau |
| Feb-2010 | Simplifying mixture models through function approximation | Zhang, Kai; Kwok, James Tin-Yau |
| Jun-2010 | Online multiple instance learning with no regret | Li, Mu; Kwok, James Tin-Yau; Lu, Bao-Liang |
| Jul-2010 | Cost-sensitive semi-supervised support vector machine | Li, Yu-Feng; Kwok, James Tin-Yau; Zhou, Zhi-Hua |
| 12-Oct-2010 | Distributed position estimation for wireless sensor networks | Chan, Shueng-Han Gary; Cheung, Victor; Wong, Kin-Fung; Tsang, Ivor W.; Kwok, James Tin-Yau |
