Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval TasksXIANG PENG; KING, Irwin.Lecture notes in computer science. 2006, pp 342-351, issn 0302-9743, isbn 3-540-46479-4, 3Vol, 10 p.Conference Paper

Biased minimax probability machine active learning for relevance feedback in content-based image retrievalXIANG PENG; KING, Irwin.Lecture notes in computer science. 2006, pp 953-960, issn 0302-9743, isbn 3-540-45485-3, 1Vol, 8 p.Conference Paper

Managing knowledge on the Web - Extracting ontology from HTML WebDU, Timon C; FENG LI; KING, Irwin et al.Decision support systems. 2009, Vol 47, Num 4, pp 319-331, issn 0167-9236, 13 p.Article

MatchSim: a novel similarity measure based on maximum neighborhood matchingZHENJIANG LIN; LYU, Michael R; KING, Irwin et al.Knowledge and information systems (Print). 2012, Vol 32, Num 1, pp 141-166, issn 0219-1377, 26 p.Article

The Generalized Dependency Degree Between AttributesHAIXUAN YANG; KING, Irwin; LYU, Michael R et al.Journal of the American Society for Information Science and Technology (Print). 2007, Vol 58, Num 14, pp 2280-2294, issn 1532-2882, 15 p.Article

Content-based image retrieval by relevance feedbackZHONG JIN; KING, Irwin; XUEQUN LI et al.Lecture notes in computer science. 2000, pp 521-529, issn 0302-9743, isbn 3-540-41177-1Conference Paper

An efficient decoding technique for Huffman codesREZAUL ALAM CHOWDHURY; KAYKOBAD, M; KING, Irwin et al.Information processing letters. 2002, Vol 81, Num 6, pp 305-308, issn 0020-0190Article

Video summarization by spatial-temporal graph optimizationSHI LU; LYU, Michael R; KING, Irwin et al.IEEE International Symposium on Circuits and Systems. 2004, pp 197-200, isbn 0-7803-8251-X, 4 p.Conference Paper

Bridging the Semantic Gap Between Image Contents and TagsHAO MA; JIANKE ZHU; LYU, Michael Rung-Tsong et al.IEEE transactions on multimedia. 2010, Vol 12, Num 5, pp 462-473, issn 1520-9210, 12 p.Article

Chinese cursive script character image retrieval based on an integrated probability functionKING, Irwin; ZHONG JIN; CHAN, David Yuk-Ming et al.Lecture notes in computer science. 2000, pp 530-539, issn 0302-9743, isbn 3-540-41177-1Conference Paper

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

Efficient Sparse Generalized Multiple Kernel LearningHAIQIN YANG; ZENGLIN XU; JIEPING YE et al.IEEE transactions on neural networks. 2011, Vol 22, Num 3, pp 433-446, issn 1045-9227, 14 p.Article

Hierarchical classification of documents with error controlCHENG, Chun-Hung; JIAN TANG; FU, Ada Wai-Chee et al.Lecture notes in computer science. 2001, Vol 2035, pp 433-443, issn 0302-9743, isbn 3-540-41910-1Conference Paper

Using Biased Support Vector Machine to improve retrieval result in image retrieval with self-organizing mapCHAN, Chi-Hang; KING, Irwin.Lecture notes in computer science. 2004, pp 714-719, issn 0302-9743, isbn 3-540-23931-6, 6 p.Conference Paper

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

Robust BMPM training based on second-order cone programming and its application in medical diagnosisXIANG PENG; KING, Irwin.Neural networks. 2008, Vol 21, Num 2-3, pp 458-465, issn 0893-6080, 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

Regression analysis for Rival Penalized Competitive Learning Binary TreeXUE QUN LI; KING, Irwin.IEEE-INNS-ENNS international joint conference on neural networks. 2000, pp Vol6.290-295, isbn 0-7695-0619-4, 6VolConference 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

Video summarization by video structure analysis and graph optimizationSHI LU; KING, Irwin; LYU, Michael R et al.IEEE International Conference on multimedia. 2004, isbn 0-7803-8603-5, 3Vol, vol3, 1959-1962Conference Paper

A Face processing system based on Committee machine: The approach and experimental resultsJANG, Kim-Fung; TANG, Ho-Man; LYU, Michael R et al.Lecture notes in computer science. 2003, pp 614-622, issn 0302-9743, isbn 3-540-40730-8, 9 p.Conference Paper

Support Vector machine Regression for volatile stock market predictionHAIQIN YANG; LAIWAN CHAN; KING, Irwin et al.Lecture notes in computer science. 2002, pp 391-396, issn 0302-9743, isbn 3-540-44025-9, 6 p.Conference Paper

Robust BMPM training based on second-order cone programming and its application in medical diagnosisXIANG PENG; KING, Irwin.Neural networks. 2008, Vol 21, Num 2-3, pp 450-457, issn 0893-6080, 8 p.Conference Paper

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