Please note: This is a beta version of the new dblp website.
You can find the classic dblp view of this page here.
You can find the classic dblp view of this page here.
Kaizhu Huang
2010 – today
- 2013
[j16]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu: Geometry preserving multi-task metric learning. Machine Learning 92(1): 133-175 (2013)- [j15]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu: A multi-task framework for metric learning with common subspace. Neural Computing and Applications 22(7-8): 1337-1347 (2013)
- [i3]Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang: Robust Text Detection in Natural Scene Images. CoRR abs/1301.2628 (2013)
- 2012
- [j14]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Joint learning of error-correcting output codes and dichotomizers from data. Neural Computing and Applications 21(4): 715-724 (2012)
- [j13]Bo Xu, Kaizhu Huang, Cheng-Lin Liu: Maxi-Min discriminant analysis via online learning. Neural Networks 34: 56-64 (2012)
- [c35]Xu-Cheng Yin, Kaizhu Huang, Hong-Wei Hao, Khalid Iqbal, Zhi-Bin Wang: Classifier Ensemble Using a Heuristic Learning with Sparsity and Diversity. ICONIP (2) 2012: 100-107
- [c34]Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu: Multiple Outlooks Learning with Support Vector Machines. ICONIP (3) 2012: 116-124
- [c33]Peipei Yang, Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu: Manifold Regularized Multi-Task Learning. ICONIP (3) 2012: 528-536
- [c32]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu: Geometry Preserving Multi-task Metric Learning. ECML/PKDD (1) 2012: 648-664
- [i2]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu: Robust Metric Learning by Smooth Optimization. CoRR abs/1203.3461 (2012)
- [i1]Yao Lu, Kaizhu Huang, Cheng-Lin Liu: A Fast Projected Fixed-Point Algorithm for Large Graph Matching. CoRR abs/1207.1114 (2012)
- 2011
- [j12]Kaizhu Huang, Yiming Ying, Colin Campbell: Generalized sparse metric learning with relative comparisons. Knowl. Inf. Syst. 28(1): 25-45 (2011)
- [j11]Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang: Exchange rate prediction with non-numerical information. Neural Computing and Applications 20(7): 945-954 (2011)
- [j10]Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, Kaizhu Huang: FMI image based rock structure classification using classifier combination. Neural Computing and Applications 20(7): 955-963 (2011)
- [j9]Bo Xie, Yang Mu, Dacheng Tao, Kaizhu Huang: m-SNE: Multiview Stochastic Neighbor Embedding. IEEE Transactions on Systems, Man, and Cybernetics, Part B 41(4): 1088-1096 (2011)
- [c31]Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu: Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. ICDM 2011: 952-961
- [c30]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Low Rank Metric Learning with Manifold Regularization. ICDM 2011: 1266-1271
- [c29]Peipei Yang, Kaizhu Huang, Cheng-Lin Liu: Multi-Task Low-Rank Metric Learning Based on Common Subspace. ICONIP (2) 2011: 151-159
- [c28]Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi: Graphical Lasso Quadratic Discriminant Function for Character Recognition. ICONIP (3) 2011: 747-755
- [c27]Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu: Pattern Field Classification with Style Normalized Transformation. IJCAI 2011: 1621-1626
- 2010
- [j8]Kaizhu Huang, Danian Zheng, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi: Sparse learning for support vector classification. Pattern Recognition Letters 31(13): 1944-1951 (2010)
- [c26]Bo Xu, Kaizhu Huang, Cheng-Lin Liu: Similar Handwritten Chinese Characters Recognition by Critical Region Selection Based on Average Symmetric Uncertainty. ICFHR 2010: 527-532
- [c25]Hong-Wei Hao, Qian Liu, Xu-Cheng Yin, Zhi-Bin Wang, Kaizhu Huang: Ellipse Detection with an Improved Randomized Hough Transform for Intellectual Phacoemulsification Surgery Systems. ICIP 2010: 1449-1452
- [c24]Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu: Learning ECOC and Dichotomizers Jointly from Data. ICONIP (1) 2010: 494-502
- [c23]Bo Xu, Kaizhu Huang, Cheng-Lin Liu: Dimensionality Reduction by Minimal Distance Maximization. ICPR 2010: 569-572
- [c22]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu: Robust Metric Learning by Smooth Optimization. UAI 2010: 244-251
2000 – 2009
- 2009
- [j7]Yiming Ying, Kaizhu Huang, Colin Campbell: Enhanced protein fold recognition through a novel data integration approach. BMC Bioinformatics 10: 267 (2009)
- [j6]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu: Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009)
- [j5]Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu: Arbitrary Norm Support Vector Machines. Neural Computation 21(2): 560-582 (2009)
- [j4]Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu: A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009)
- [c21]Kaizhu Huang, Yiming Ying, Colin Campbell: GSML: A Unified Framework for Sparse Metric Learning. ICDM 2009: 189-198
- [c20]Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, Kaizhu Huang: A Rock Structure Recognition System Using FMI Images. ICONIP (1) 2009: 838-845
- [c19]Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, Kaizhu Huang: Exchange Rate Forecasting Using Classifier Ensemble. ICONIP (1) 2009: 884-891
- [c18]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell: Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277
- [c17]Yiming Ying, Kaizhu Huang, Colin Campbell: Sparse Metric Learning via Smooth Optimization. NIPS 2009: 2214-2222
- 2008
- [j3]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Transactions on Neural Networks 19(2): 260-272 (2008)
- [c16]ZhangBing Zhou, Sami Bhiri, Lei Shu, Kaizhu Huang, Laurentiu Vasiliu, Manfred Hauswirth: A Scenario-View Based Approach to Analyze External Behavior of Web Services for Supporting Mediated Service Interactions. IEEE SCC (2) 2008: 249-256
- [c15]Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King: Semi-supervised text categorization by active search. CIKM 2008: 1517-1518
- [c14]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu: Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282
- [c13]Kaizhu Huang, Irwin King, Michael R. Lyu: Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850
- [c12]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu: Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019
- 2007
- [c11]Jun Sun, Kaizhu Huang, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi: Degraded Character Recognition by Complementary Classifiers Combination. ICDAR 2007: 579-583
- [c10]Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi: An SVM-Based High-accurate Recognition Approach for Handwritten Numerals by Using Difference Features. ICDAR 2007: 589-593
- [c9]Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu: Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850
- 2006
- [j2]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Engineering 53(5): 821-831 (2006)
- [c8]Kaizhu Huang, Jun Sun, Yoshinobu Hotta, Katsuhito Fujimoto, Satoshi Naoi, Chong Long, Li Zhuang, Xiaoyan Zhu: A Hybrid Handwritten Chinese Address Recognition Approach. ICONIP (2) 2006: 88-98
- [c7]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627
- 2004
- [j1]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: The Minimum Error Minimax Probability Machine. Journal of Machine Learning Research 5: 1253-1286 (2004)
- [c6]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. AMAI 2004
- [c5]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) 2004: 558-563
- [c4]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Learning large margin classifiers locally and globally. ICML 2004
- [c3]Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu: Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265
- [c2]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan: Biased Minimax Probability Machine for Medical Diagnosis. ISAIM 2004
- 2003
- [c1]Kaizhu Huang, Irwin King, Michael R. Lyu: Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. ICANN 2003: 115-122
Coauthor Index
data released under the ODC-BY 1.0 license. See also our legal information page
last updated on 2013-06-13 23:10 CEST by the dblp team