Generalized sparse metric learning with relative comparisonsKAIZHU HUANG; YIMING YING; CAMPBELL, Colin et al.Knowledge and information systems (Print). 2011, Vol 28, Num 1, pp 25-45, issn 0219-1377, 21 p.Article

A multi-task framework for metric learning with common subspace : Advances in Learning AlgorithmsPEIPEI YANG; KAIZHU HUANG; LIU, Cheng-Lin et al.Neural computing & applications (Print). 2013, Vol 22, Num 7-8, pp 1337-1347, issn 0941-0643, 11 p.Conference Paper

Maxi-Min discriminant analysis via online learningBO XU; KAIZHU HUANG; LIU, Cheng-Lin et al.Neural networks. 2012, Vol 34, pp 56-64, issn 0893-6080, 9 p.Article

Robust Text Detection in Natural Scene ImagesYIN, Xu-Cheng; XUWANG YIN; KAIZHU HUANG et al.IEEE transactions on pattern analysis and machine intelligence. 2014, Vol 36, Num 5, pp 970-983, issn 0162-8828, 14 p.Article

Maxi-Min Margin Machine : Learning Large Margin Classifiers Locally and GloballyKAIZHU HUANG; HAIQIN YANG; KING, Irwin et al.IEEE transactions on neural networks. 2008, Vol 19, Num 2, pp 260-272, issn 1045-9227, 13 p.Article

Arbitrary Norm Support Vector MachinesKAIZHU HUANG; DANIAN ZHENG; KING, Irwin et al.Neural computation. 2009, Vol 21, Num 2, pp 560-582, issn 0899-7667, 23 p.Article

FMI image based rock structure classification using classifier combinationYIN, Xu-Cheng; QIAN LIU; HAO, Hong-Wei et al.Neural computing & applications (Print). 2011, Vol 20, Num 7, pp 955-963, issn 0941-0643, 9 p.Conference Paper

A novel classifier ensemble method with sparsity and diversityYIN, Xu-Cheng; KAIZHU HUANG; HAO, Hong-Wei et al.Neurocomputing (Amsterdam). 2014, Vol 134, pp 214-221, issn 0925-2312, 8 p.Conference Paper

A novel kernel-based maximum a posteriori classification methodZENGLIN XU; KAIZHU HUANG; JIANKE ZHU et al.Neural networks. 2009, Vol 22, Num 7, pp 977-987, issn 0893-6080, 11 p.Article

Graphical lasso quadratic discriminant function and its application to character recognitionBO XU; KAIZHU HUANG; KING, Irwin et al.Neurocomputing (Amsterdam). 2014, Vol 129, pp 33-40, issn 0925-2312, 8 p.Conference Paper

Learning classifiers from imbalanced data based on biased minimax probability machineKAIZHU HUANG; HAIQIN YANG; KING, Irwin et al.IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2004, isbn 0-7695-2158-4, Vol2, 558-563Conference Paper

Geometry preserving multi-task metric learningPEIPEI YANG; KAIZHU HUANG; LIU, Cheng-Lin et al.Machine learning. 2013, Vol 92, Num 1, pp 133-175, issn 0885-6125, 43 p.Article

Sparse learning for support vector classificationKAIZHU HUANG; DANIAN ZHENG; JUN SUN et al.Pattern recognition letters. 2010, Vol 31, Num 13, pp 1944-1951, issn 0167-8655, 8 p.Article

Biased support vector machine for relevance feedback in image retrievalHOI, Chu-Hong; CHAN, Chi-Hang; KAIZHU HUANG et al.International Joint Conference on Neural Networks. 2004, isbn 0-7803-8359-1, 4Vol, Vol47, 3189-3194Conference Paper

Finite Mixture model of Bounded semi-naive Bayesian networks classifierKAIZHU HUANG; KING, Irwin; LYU, Michael R et al.Lecture notes in computer science. 2003, pp 115-122, issn 0302-9743, isbn 3-540-40408-2, 8 p.Conference Paper

A Hybrid Handwritten Chinese Address Recognition ApproachKAIZHU HUANG; JUN SUN; HOTTA, Yoshinobu et al.Lecture notes in computer science. 2006, pp 88-98, issn 0302-9743, isbn 3-540-46479-4, 3Vol, 11 p.Conference Paper

Outliers treatment in Support Vector Regression for financial time series predictionHAIQIN YANG; KAIZHU HUANG; LAIWAN CHAN et al.Lecture notes in computer science. 2004, pp 1260-1265, issn 0302-9743, isbn 3-540-23931-6, 6 p.Conference Paper