2009 | ||
---|---|---|
80 | EE | Sihong Xie, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren: Latent space domain transfer between high dimensional overlapping distributions. WWW 2009: 91-100 |
79 | EE | Jing Peng, Chang-jie Tang, Dongqing Yang, Jing Zhang, Jianjun Hu: Similarity computing model of high dimension data for symptom classification of Chinese traditional medicine. Appl. Soft Comput. 9(1): 209-218 (2009) |
2008 | ||
78 | EE | Shaojie Qiao, Changjie Tang, Shucheng Dai, Mingfang Zhu, Jing Peng, Hongjun Li, Yungchang Ku: PartSpan: Parallel Sequence Mining of Trajectory Patterns. FSKD (5) 2008: 363-367 |
77 | EE | ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang: Graph-Based Iterative Hybrid Feature Selection. ICDM 2008: 1133-1138 |
76 | EE | Shaojie Qiao, Changjie Tang, Jing Peng, Hongjun Li, Shengqiao Ni: Efficient k-Closest-Pair Range-Queries in Spatial Databases. WAIM 2008: 99-104 |
75 | EE | Jing Peng, Peng Zhang, Norbert Riedel: Discriminant Learning Analysis. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(6): 1614-1625 (2008) |
74 | EE | Jing Peng, Dongqing Yang, Shi-Wei Tang, Tengjiao Wang, Jun Gao: A new similarity computing method based on concept similarity in Chinese text processing. Science in China Series F: Information Sciences 51(9): 1215-1230 (2008) |
2007 | ||
73 | EE | Jing Peng, Changjie Tang, Dongqing Yang, An-long Chen, Lei Duan: A Coding Hierarchy Computing Based Clustering Algorithm. ADMA 2007: 110-121 |
72 | EE | Jing Peng, Dongqing Yang, Changjie Tang, Jing Zhang, Jianjun Hu: CACS: A Novel Classification Algorithm Based on Concept Similarity. ADMA 2007: 500-507 |
71 | EE | Jing Peng, Dongqing Yang, Shi-Wei Tang, Jun Gao, Peng-yi Zhang, Yan Fu: A Concept Similarity Based Text Classification Algorithm. FSKD (1) 2007: 535-539 |
70 | EE | Jing Peng, Stefan A. Robila: Weighted Additive Criterion for Linear Dimension Reduction. ICDM 2007: 619-624 |
69 | EE | Jing Peng, Kenji Araki: Zero Anaphora Resolution in Chinese and Its Application in Chinese-English Machine Translation. NLDB 2007: 364-375 |
68 | EE | Bikramjit Banerjee, Jing Peng: Generalized multiagent learning with performance bound. Autonomous Agents and Multi-Agent Systems 15(3): 281-312 (2007) |
67 | EE | Jing Peng, Kenji Araki: Zero-Anaphora Resolution in Chinese Using Maximum Entropy. IEICE Transactions 90-D(7): 1092-1102 (2007) |
2006 | ||
66 | EE | Peng Zhang, Jing Peng, Bill P. Buckles: Learning Optimal Filter Representation for Texture Classification. ICPR (2) 2006: 1138-1141 |
65 | EE | Bo-Yu Li, Jing Peng, Yan-Qiu Chen, Ya-Qiu Jin: Classifying Unbalanced Pattern Groups by Training Neural Network. ISNN (2) 2006: 8-13 |
64 | EE | 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 |
2005 | ||
63 | Bikramjit Banerjee, Jing Peng: Efficient No-Regret Multiagent Learning. AAAI 2005: 41-46 | |
62 | Peng Zhang, Jing Peng, Norbert Riedel: Finite Sample Error Bound for Parzen Windows. AAAI 2005: 925-931 | |
61 | EE | Bikramjit Banerjee, Jing Peng: Efficient learning of multi-step best response. AAMAS 2005: 60-66 |
60 | EE | 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 |
59 | EE | Xiaohui Yuan, Jing Peng, Yasumasa Nishiura: Particle Swarm Optimization with Multiscale Searching Method. CIS (1) 2005: 669-674 |
58 | EE | 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 |
57 | EE | Costin Barbu, Raja Tanveer Iqbal, Jing Peng: Classifier Fusion Using Shared Sampling Distribution for Boosting. ICDM 2005: 34-41 |
56 | EE | 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 |
55 | EE | Jing Peng, Changjie Tang, Jing Zhang, Chang-an Yuan: Evolutionary Algorithm Based on Overlapped Gene Expression. ICNC (3) 2005: 194-204 |
54 | EE | Costin Barbu, Kun Zhang, Jing Peng, Bill P. Buckles: Boosting in classifier fusion vs. fusing boosted classifiers. IRI 2005: 332-337 |
53 | EE | Jie Li, Jing Peng, Heng Chu, Weile Zhu: Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm. ISNN (2) 2005: 568-573 |
52 | EE | Bikramjit Banerjee, Jing Peng: Unifying Convergence and No-Regret in Multiagent Learning. LAMAS 2005: 100-114 |
51 | EE | 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 |
50 | EE | 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) |
49 | EE | 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) |
48 | EE | 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) |
2004 | ||
47 | Bikramjit Banerjee, Jing Peng: Performance Bounded Reinforcement Learning in Strategic Interactions. AAAI 2004: 2-7 | |
46 | EE | Bikramjit Banerjee, Jing Peng: The Role of Reactivity in Multiagent Learning. AAMAS 2004: 538-545 |
45 | EE | 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 |
44 | EE | Jing Peng, Dake Wang: Research and Development of Digital Library Platform. ICADL 2004: 651 |
43 | EE | Peng Zhang, Jing Peng: SVM vs Regularized Least Squares Classification. ICPR (1) 2004: 176-179 |
42 | EE | 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) |
41 | EE | Bikramjit Banerjee, Sandip Sen, Jing Peng: On-policy concurrent reinforcement learning. J. Exp. Theor. Artif. Intell. 16(4): 245-260 (2004) |
40 | EE | 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) |
2003 | ||
39 | EE | Bikramjit Banerjee, Jing Peng: Adaptive policy gradient in multiagent learning. AAMAS 2003: 686-692 |
38 | Xiaojing Yuan, Xiaohui Yuan, Fan Yang, Jing Peng, Bill P. Buckles: Gene Expression Classification: Decision Trees vs. SVMs. FLAIRS Conference 2003: 92-97 | |
37 | EE | Peng Zhang, Jing Peng, Carlotta Domeniconi: Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. ICDM 2003: 701-704 |
36 | Jing Peng, Douglas R. Heisterkamp: Kernel indexing for relevance feedback image retrieval. ICIP (1) 2003: 733-736 | |
35 | EE | Douglas R. Heisterkamp, Jing Peng: Kernel VA-files for relevance feedback retrieva. MMDB 2003: 48-54 |
34 | EE | Jing Peng: Multi-class relevance feedback content-based image retrieval. Computer Vision and Image Understanding 90(1): 42-67 (2003) |
2002 | ||
33 | EE | Ibrahim Gokcen, Jing Peng: Comparing Linear Discriminant Analysis and Support Vector Machines. ADVIS 2002: 104-113 |
32 | EE | Bikramjit Banerjee, Jing Peng: Convergent Gradient Ascent in General-Sum Games. ECML 2002: 1-9 |
31 | Jing Peng, Bikramjit Banerjee, Douglas R. Heisterkamp: Kernel Index for Relevance feedback Retrieval. FSKD 2002: 187-191 | |
30 | Ibrahim Gokcen, Jing Peng, Bill P. Buckles: Active Learning Using One-class Classification. HIS 2002: 280-289 | |
29 | EE | Jing Peng, Douglas R. Heisterkamp, H. K. Dai: Adaptive Kernel Metric Nearest Neighbor Classification. ICPR (3) 2002: 33-36 |
28 | EE | Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos: Locally Adaptive Metric Nearest-Neighbor Classification. IEEE Trans. Pattern Anal. Mach. Intell. 24(9): 1281-1285 (2002) |
2001 | ||
27 | EE | Jing Peng, Douglas R. Heisterkamp, H. K. Dai: LDA/SVM Driven Nearest Neighbor Classification. CVPR (1) 2001: 58- |
26 | EE | Douglas R. Heisterkamp, Jing Peng, H. K. Dai: Adaptive Quasiconformal Kernel Metric for Image Retrieval. CVPR (2) 2001: 388-393 |
25 | EE | Jing Peng: A multi-class relevance feedback approach to image retrieval. ICIP (1) 2001: 46-49 |
24 | EE | ByoungChul Ko, Jing Peng, Hyeran Byun: A New Content-Based Image Retrieval System Using Hang Gesture And Relevange Feedback. ICME 2001 |
23 | Bikramjit Banerjee, Sandip Sen, Jing Peng: Fast Concurrent Reinforcement Learners. IJCAI 2001: 825-832 | |
22 | EE | 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) |
21 | EE | ByoungChul Ko, Jing Peng, Hyeran Byun: Region-based Image Retrieval Using Probabilistic Feature Relevance Learning. Pattern Anal. Appl. 4(2-3): 174-184 (2001) |
20 | EE | Jing Peng, Bir Bhanu: Local discriminative learning for pattern recognition. Pattern Recognition 34(1): 139-150 (2001) |
19 | Jing Peng, Bir Bhanu: Independent feature analysis for image retrieval. Pattern Recognition Letters 22(1): 63-74 (2001) | |
2000 | ||
18 | EE | Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng: Adaptive Metric nearest Neighbor Classification. CVPR 2000: 1517-1522 |
17 | EE | Douglas R. Heisterkamp, Jing Peng, H. K. Dai: Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval. ICPR 2000: 4250-4253 |
16 | Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos: An Adaptive Metric Machine for Pattern Classification. NIPS 2000: 458-464 | |
15 | EE | Jing Peng: Adaptive Multi-class Metric Content-Based Image Retrieval. VISUAL 2000: 407-418 |
14 | 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) | |
13 | EE | Bir Bhanu, Yingqiang Lin, Grinnell Jones, Jing Peng: Adaptive target recognition. Mach. Vis. Appl. 11(6): 289-299 (2000) |
1999 | ||
12 | EE | Jing Peng, Bir Bhanu: Independent Feature Analysis for Image Retrieval. MLDM 1999: 103-115 |
11 | Jing Peng, Bir Bhanu: Feature Relevance Estimation for Image Databases. Multimedia Information Systems 1999: 12-19 | |
10 | Jing Peng, Bir Bhanu: Learning to Perceive Objects for Autonomous Navigation. Auton. Robots 6(2): 187-201 (1999) | |
9 | EE | Jing Peng, Bir Bhanu, Shan Qing: Probabilistic Feature Relevance Learning for Content-Based Image Retrieval. Computer Vision and Image Understanding 75(1-2): 150-164 (1999) |
1998 | ||
8 | Bir Bhanu, Shan Qing, Jing Peng: Learning Integrated Online Indexing for Image Databases. ICIP (2) 1998: 789-793 | |
7 | Jing Peng, Bir Bhanu: Pattern Classification Based on Local Learning. SSPR/SPR 1998: 882-889 | |
6 | EE | Jing Peng, Bir Bhanu: Closed-Loop Object Recognition Using Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 20(2): 139-154 (1998) |
1996 | ||
5 | EE | Jing Peng, Bir Bhanu: Closed-Loop Object Recognition Using Reinforcement Learning. CVPR 1996: 538-543 |
4 | Jing Peng, Ronald J. Williams: Incremental Multi-Step Q-Learning. Machine Learning 22(1-3): 283-290 (1996) | |
1995 | ||
3 | Jing Peng: Efficient Memory-Based Dynamic Programming. ICML 1995: 438-446 | |
1994 | ||
2 | Jing Peng, Ronald J. Williams: Incremental Multi-Step Q-Learning. ICML 1994: 226-232 | |
1986 | ||
1 | EE | 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 |