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Note: Links lead to the DBLP on the Web. Jing Peng Bo-Yu Li , Jing Peng, Yan-Qiu Chen , Ya-Qiu Jin : Classifying Unbalanced Pattern Groups by Training Neural Network. ISNN (2) 2006 : 8-13 Shaojie Qiao , Changjie Tang , Jing Peng, Hongjian Fan , Yong Xiang : VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming. WISI 2006 : 133-138 Bikramjit Banerjee , Jing Peng: Efficient No-Regret Multiagent Learning. AAAI 2005 : 41-46 Peng Zhang , Jing Peng, Norbert Riedel : Finite Sample Error Bound for Parzen Windows. AAAI 2005 : 925-931 Bikramjit Banerjee , Jing Peng: Efficient learning of multi-step best response. AAMAS 2005 : 60-66 An-long Chen , Changjie Tang , Chang-an Yuan , Jing Peng, Jianjun Hu : Mining Correlations Between Multi-streams Based on Haar Wavelet. ASIAN 2005 : 270-271 Chuan Li , Changjie Tang , Jing Peng, Jianjun Hu , Yongguang Jiang , Yong Xiaojia : NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions. DASFAA 2005 : 576-581 Costin Barbu , Raja Iqbal , Jing Peng: Classifier Fusion Using Shared Sampling Distribution for Boosting. ICDM 2005 : 34-41 Kun Zhang , Zujia Xu , Jing Peng, Bill P. Buckles : Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. ICDM 2005 : 817-820 Jing Peng, Changjie Tang , Jing Zhang , Chang-an Yuan : Evolutionary Algorithm Based on Overlapped Gene Expression. ICNC (3) 2005 : 194-204 Jie Li , Jing Peng, Heng Chu , Weile Zhu : Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm. ISNN (2) 2005 : 568-573 Bikramjit Banerjee , Jing Peng: Unifying Convergence and No-Regret in Multiagent Learning. LAMAS 2005 : 100-114 Jianjun Hu , Changjie Tang , Jing Peng, Chuan Li , Chang-an Yuan , An-long Chen : A Clustering Algorithm Based Absorbing Nearest Neighbors. WAIM 2005 : 700-705 Peng Zhang , Jing Peng, Carlotta Domeniconi : Kernel pooled local subspaces for classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35 (3): 489-502 (2005) Douglas R. Heisterkamp , Jing Peng: Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases. Multimedia Tools Appl. 26 (2): 175-189 (2005) Jing Peng, Dong Zhang , Yuncai Liu : An improved snake model for building detection from urban aerial images. Pattern Recognition Letters 26 (5): 587-595 (2005) Bikramjit Banerjee , Jing Peng: Performance Bounded Reinforcement Learning in Strategic Interactions. AAAI 2004 : 2-7 Bikramjit Banerjee , Jing Peng: The Role of Reactivity in Multiagent Learning. AAMAS 2004 : 538-545 Chuan Li , Changjie Tang , Jing Peng, Jianjun Hu , Lingming Zeng , Xiaoxiong Yin , Yongguang Jiang , Juan Liu : TCMiner: A High Performance Data Mining System for Multi-dimensional Data Analysis of Traditional Chinese Medicine Prescriptions. ER (Workshops) 2004 : 246-257 Jing Peng, Dake Wang : Research and Development of Digital Library Platform. ICADL 2004 : 651 Peng Zhang , Jing Peng: SVM vs Regularized Least Squares Classification. ICPR (1) 2004 : 176-179 Jing Peng, Douglas R. Heisterkamp , H. K. Dai : Adaptive Quasiconformal Kernel Nearest Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 26 (5): 656-661 (2004) Bikramjit Banerjee , Sandip Sen , Jing Peng: On-policy concurrent reinforcement learning. J. Exp. Theor. Artif. Intell. 16 (4): 245-260 (2004) Iker Gondra , Douglas R. Heisterkamp , Jing Peng: Improving image retrieval performance by inter-query learning with one-class support vector machines. Neural Computing and Applications 13 (2): 130-139 (2004) Bikramjit Banerjee , Jing Peng: Adaptive policy gradient in multiagent learning. AAMAS 2003 : 686-692 Xiaojing Yuan , Xiaohui Yuan , Fan Yang , Jing Peng, Bill P. Buckles : Gene Expression Classification: Decision Trees vs. SVMs. FLAIRS Conference 2003 : 92-97 Peng Zhang , Jing Peng, Carlotta Domeniconi : Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. ICDM 2003 : 701-704 Jing Peng, Douglas R. Heisterkamp : Kernel indexing for relevance feedback image retrieval. ICIP (1) 2003 : 733-736 Douglas R. Heisterkamp , Jing Peng: Kernel VA-files for relevance feedback retrieva. MMDB 2003 : 48-54 Ibrahim Gokcen , Jing Peng: Comparing Linear Discriminant Analysis and Support Vector Machines. ADVIS 2002 : 104-113 Bikramjit Banerjee , Jing Peng: Convergent Gradient Ascent in General-Sum Games. ECML 2002 : 1-9 Jing Peng, Bikramjit Banerjee , Douglas R. Heisterkamp : Kernel Index for Relevance feedback Retrieval. FSKD 2002 : 187-191 Ibrahim Gokcen , Jing Peng, Bill P. Buckles : Active Learning Using One-class Classification. HIS 2002 : 280-289 Jing Peng, Douglas R. Heisterkamp , H. K. Dai : Adaptive Kernel Metric Nearest Neighbor Classification. ICPR (3) 2002 : 33-36 Carlotta Domeniconi , Jing Peng, Dimitrios Gunopulos : Locally Adaptive Metric Nearest-Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24 (9): 1281-1285 (2002) Jing Peng, Douglas R. Heisterkamp , H. K. Dai : LDA/SVM Driven Nearest Neighbor Classification. CVPR (1) 2001 : 58- Douglas R. Heisterkamp , Jing Peng, H. K. Dai : Adaptive Quasiconformal Kernel Metric for Image Retrieval. CVPR (2) 2001 : 388-393 Jing Peng: A multi-class relevance feedback approach to image retrieval. ICIP (1) 2001 : 46-49 ByoungChul Ko , Jing Peng, Hyeran Byun : A New Content-Based Image Retrieval System Using Hang Gesture And Relevange Feedback. ICME 2001 Bikramjit Banerjee , Sandip Sen , Jing Peng: Fast Concurrent Reinforcement Learners. IJCAI 2001 : 825-832 Anna Hac , Jing Peng: A two-phase combined QoS-based handoff scheme in a wireless ATM network. Int. Journal of Network Management 11 (5): 309-330 (2001) ByoungChul Ko , Jing Peng, Hyeran Byun : Region-based Image Retrieval Using Probabilistic Feature Relevance Learning. Pattern Anal. Appl. 4 (2-3): 174-184 (2001) Jing Peng, Bir Bhanu : Local discriminative learning for pattern recognition. Pattern Recognition 34 (1): 139-150 (2001) Jing Peng, Bir Bhanu : Independent feature analysis for image retrieval. Pattern Recognition Letters 22 (1): 63-74 (2001) Carlotta Domeniconi , Dimitrios Gunopulos , Jing Peng: Adaptive Metric nearest Neighbor Classification. CVPR 2000 : 1517-1522 Douglas R. Heisterkamp , Jing Peng, H. K. Dai : Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval. ICPR 2000 : 4250-4253 Carlotta Domeniconi , Jing Peng, Dimitrios Gunopulos : An Adaptive Metric Machine for Pattern Classification. NIPS 2000 : 458-464 Jing Peng: Adaptive Multi-class Metric Content-Based Image Retrieval. VISUAL 2000 : 407-418 Bir Bhanu , Jing Peng: Adaptive integrated image segmentation and object recognition. IEEE Transactions on Systems, Man, and Cybernetics, Part C 30 (4): 427-441 (2000) Bir Bhanu , Yingqiang Lin , Grinnell Jones , Jing Peng: Adaptive target recognition. Mach. Vis. Appl. 11 (6): 289-299 (2000) Jing Peng, Bir Bhanu : Independent Feature Analysis for Image Retrieval. MLDM 1999 : 103-115 Jing Peng, Bir Bhanu : Feature Relevance Estimation for Image Databases. Multimedia Information Systems 1999 : 12-19 Jing Peng, Bir Bhanu : Learning to Perceive Objects for Autonomous Navigation. Auton. Robots 6 (2): 187-201 (1999) Bir Bhanu , Shan Qing , Jing Peng: Learning Integrated Online Indexing for Image Databases. ICIP (2) 1998 : 789-793 Jing Peng, Bir Bhanu : Pattern Classification Based on Local Learning. SSPR/SPR 1998 : 882-889 Jing Peng, Bir Bhanu : Closed-Loop Object Recognition Using Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 20 (2): 139-154 (1998) Jing Peng, Bir Bhanu : Closed-Loop Object Recognition Using Reinforcement Learning. CVPR 1996 : 538-543 Jing Peng, Ronald J. Williams : Incremental Multi-Step Q-Learning. Machine Learning 22 (1-3): 283-290 (1996) Jing Peng: Efficient Memory-Based Dynamic Programming. ICML 1995 : 438-446 Jing Peng, Ronald J. Williams : Incremental Multi-Step Q-Learning. ICML 1994 : 226-232 Tangqui Li , Hon Wai Chun , Jing Peng, Xiru Zhang : Segmentation in Chinese natural language understanding using a massively parallel approach (abstract). ACM Conference on Computer Science 1986 : 442 1 [ 22 ] [ 30 ] [ 31 ] [ 37 ] [ 39 ] [ 44 ] [ 45 ] [ 50 ] [ 57 ] [ 59 ] 2 [ 54 ] 3 [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 18 ] [ 19 ] 4 [ 29 ] [ 36 ] [ 53 ] 5 [ 20 ] [ 23 ] 6 [ 49 ] [ 56 ] 7 [ 61 ] 8 [ 51 ] 9 [ 1 ] 10 [ 16 ] [ 25 ] [ 26 ] [ 28 ] [ 40 ] 11 [ 15 ] [ 17 ] [ 27 ] [ 35 ] [ 48 ] 12 [ 60 ] 13 [ 29 ] [ 32 ] 14 [ 38 ] 15 [ 15 ] [ 17 ] [ 27 ] 16 [ 21 ] 17 [ 16 ] [ 25 ] [ 26 ] [ 28 ] [ 30 ] [ 33 ] [ 34 ] [ 38 ] [ 40 ] [ 47 ] 18 [ 43 ] [ 49 ] [ 55 ] [ 56 ] 19 [ 54 ] 20 [ 43 ] [ 55 ] 21 [ 61 ] 22 [ 12 ] 23 [ 20 ] [ 23 ] 24 [ 61 ] 25 [ 43 ] [ 49 ] [ 55 ] 26 [ 51 ] 27 [ 1 ] 28 [ 12 ] 29 [ 43 ] 30 [ 46 ] 31 [ 60 ] 32 [ 8 ] 33 [ 58 ] 34 [ 22 ] [ 39 ] 35 [ 43 ] [ 49 ] [ 52 ] [ 55 ] [ 56 ] [ 60 ] 36 [ 42 ] 37 [ 2 ] [ 4 ] 38 [ 60 ] 39 [ 55 ] 40 [ 53 ] 41 [ 36 ] 42 [ 43 ] 43 [ 49 ] [ 52 ] [ 56 ] 44 [ 36 ] 45 [ 36 ] 46 [ 43 ] 47 [ 46 ] 48 [ 52 ] 49 [ 53 ] 50 [ 35 ] [ 41 ] [ 48 ] [ 58 ] 51 [ 1 ] 52 [ 51 ]  ©2006 Association for Computing Machinery |
