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Jing Peng: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Bikramjit Banerjee, Jing Peng
    Performance Bounded Reinforcement Learning in Strategic Interactions. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:2-7 [Conf]
  2. Bikramjit Banerjee, Jing Peng
    Efficient No-Regret Multiagent Learning. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:41-46 [Conf]
  3. Peng Zhang, Jing Peng, Norbert Riedel
    Finite Sample Error Bound for Parzen Windows. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:925-931 [Conf]
  4. Tangqui Li, Hon Wai Chun, Jing Peng, Xiru Zhang
    Segmentation in Chinese natural language understanding using a massively parallel approach (abstract). [Citation Graph (0, 0)][DBLP]
    ACM Conference on Computer Science, 1986, pp:442- [Conf]
  5. Ibrahim Gokcen, Jing Peng
    Comparing Linear Discriminant Analysis and Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ADVIS, 2002, pp:104-113 [Conf]
  6. An-long Chen, Changjie Tang, Chang-an Yuan, Jing Peng, Jianjun Hu
    Mining Correlations Between Multi-streams Based on Haar Wavelet. [Citation Graph (0, 0)][DBLP]
    ASIAN, 2005, pp:270-271 [Conf]
  7. Bikramjit Banerjee, Jing Peng
    Adaptive policy gradient in multiagent learning. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2003, pp:686-692 [Conf]
  8. Bikramjit Banerjee, Jing Peng
    The Role of Reactivity in Multiagent Learning. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2004, pp:538-545 [Conf]
  9. Bikramjit Banerjee, Jing Peng
    Efficient learning of multi-step best response. [Citation Graph (0, 0)][DBLP]
    AAMAS, 2005, pp:60-66 [Conf]
  10. Xiaohui Yuan, Jing Peng, Yasumasa Nishiura
    Particle Swarm Optimization with Multiscale Searching Method. [Citation Graph (0, 0)][DBLP]
    CIS (1), 2005, pp:669-674 [Conf]
  11. Carlotta Domeniconi, Dimitrios Gunopulos, Jing Peng
    Adaptive Metric nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    CVPR, 2000, pp:1517-1522 [Conf]
  12. Douglas R. Heisterkamp, Jing Peng, H. K. Dai
    Adaptive Quasiconformal Kernel Metric for Image Retrieval. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2001, pp:388-393 [Conf]
  13. Jing Peng, Bir Bhanu
    Closed-Loop Object Recognition Using Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    CVPR, 1996, pp:538-543 [Conf]
  14. Jing Peng, Douglas R. Heisterkamp, H. K. Dai
    LDA/SVM Driven Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2001, pp:58-0 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    DASFAA, 2005, pp:576-581 [Conf]
  16. Bikramjit Banerjee, Jing Peng
    Convergent Gradient Ascent in General-Sum Games. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:1-9 [Conf]
  17. 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. [Citation Graph (0, 0)][DBLP]
    ER (Workshops), 2004, pp:246-257 [Conf]
  18. Xiaojing Yuan, Xiaohui Yuan, Fan Yang, Jing Peng, Bill P. Buckles
    Gene Expression Classification: Decision Trees vs. SVMs. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2003, pp:92-97 [Conf]
  19. Jing Peng, Bikramjit Banerjee, Douglas R. Heisterkamp
    Kernel Index for Relevance feedback Retrieval. [Citation Graph (0, 0)][DBLP]
    FSKD, 2002, pp:187-191 [Conf]
  20. Ibrahim Gokcen, Jing Peng, Bill P. Buckles
    Active Learning Using One-class Classification. [Citation Graph (0, 0)][DBLP]
    HIS, 2002, pp:280-289 [Conf]
  21. Jing Peng, Dake Wang
    Research and Development of Digital Library Platform. [Citation Graph (0, 0)][DBLP]
    ICADL, 2004, pp:651- [Conf]
  22. Costin Barbu, Raja Tanveer Iqbal, Jing Peng
    Classifier Fusion Using Shared Sampling Distribution for Boosting. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:34-41 [Conf]
  23. Peng Zhang, Jing Peng, Carlotta Domeniconi
    Dimensionality Reduction Using Kernel Pooled Local Discriminant Information. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:701-704 [Conf]
  24. Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
    Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:817-820 [Conf]
  25. Bir Bhanu, Shan Qing, Jing Peng
    Learning Integrated Online Indexing for Image Databases. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1998, pp:789-793 [Conf]
  26. Jing Peng
    A multi-class relevance feedback approach to image retrieval. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2001, pp:46-49 [Conf]
  27. Jing Peng, Douglas R. Heisterkamp
    Kernel indexing for relevance feedback image retrieval. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:733-736 [Conf]
  28. ByoungChul Ko, Jing Peng, Hyeran Byun
    A New Content-Based Image Retrieval System Using Hang Gesture And Relevange Feedback. [Citation Graph (0, 0)][DBLP]
    ICME, 2001, pp:- [Conf]
  29. Jing Peng
    Efficient Memory-Based Dynamic Programming. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:438-446 [Conf]
  30. Jing Peng, Ronald J. Williams
    Incremental Multi-Step Q-Learning. [Citation Graph (0, 0)][DBLP]
    ICML, 1994, pp:226-232 [Conf]
  31. Jing Peng, Changjie Tang, Jing Zhang, Chang-an Yuan
    Evolutionary Algorithm Based on Overlapped Gene Expression. [Citation Graph (0, 0)][DBLP]
    ICNC (3), 2005, pp:194-204 [Conf]
  32. Douglas R. Heisterkamp, Jing Peng, H. K. Dai
    Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:4250-4253 [Conf]
  33. Jing Peng, Douglas R. Heisterkamp, H. K. Dai
    Adaptive Kernel Metric Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2002, pp:33-36 [Conf]
  34. Peng Zhang, Jing Peng
    SVM vs Regularized Least Squares Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:176-179 [Conf]
  35. Peng Zhang, Jing Peng, Bill P. Buckles
    Learning Optimal Filter Representation for Texture Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:1138-1141 [Conf]
  36. Bikramjit Banerjee, Sandip Sen, Jing Peng
    Fast Concurrent Reinforcement Learners. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:825-832 [Conf]
  37. Costin Barbu, Kun Zhang, Jing Peng, Bill P. Buckles
    Boosting in classifier fusion vs. fusing boosted classifiers. [Citation Graph (0, 0)][DBLP]
    IRI, 2005, pp:332-337 [Conf]
  38. Bo-Yu Li, Jing Peng, Yan-Qiu Chen, Ya-Qiu Jin
    Classifying Unbalanced Pattern Groups by Training Neural Network. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:8-13 [Conf]
  39. Jie Li, Jing Peng, Heng Chu, Weile Zhu
    Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2005, pp:568-573 [Conf]
  40. Bikramjit Banerjee, Jing Peng
    Unifying Convergence and No-Regret in Multiagent Learning. [Citation Graph (0, 0)][DBLP]
    LAMAS, 2005, pp:100-114 [Conf]
  41. Jing Peng, Bir Bhanu
    Feature Relevance Estimation for Image Databases. [Citation Graph (0, 0)][DBLP]
    Multimedia Information Systems, 1999, pp:12-19 [Conf]
  42. Jing Peng, Bir Bhanu
    Independent Feature Analysis for Image Retrieval. [Citation Graph (0, 0)][DBLP]
    MLDM, 1999, pp:103-115 [Conf]
  43. Douglas R. Heisterkamp, Jing Peng
    Kernel VA-files for relevance feedback retrieva. [Citation Graph (0, 0)][DBLP]
    MMDB, 2003, pp:48-54 [Conf]
  44. Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos
    An Adaptive Metric Machine for Pattern Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:458-464 [Conf]
  45. Jing Peng, Bir Bhanu
    Pattern Classification Based on Local Learning. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 1998, pp:882-889 [Conf]
  46. Jing Peng
    Adaptive Multi-class Metric Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    VISUAL, 2000, pp:407-418 [Conf]
  47. Jianjun Hu, Changjie Tang, Jing Peng, Chuan Li, Chang-an Yuan, An-long Chen
    A Clustering Algorithm Based Absorbing Nearest Neighbors. [Citation Graph (0, 0)][DBLP]
    WAIM, 2005, pp:700-705 [Conf]
  48. Shaojie Qiao, Changjie Tang, Jing Peng, Hongjian Fan, Yong Xiang
    VCCM Mining: Mining Virtual Community Core Members Based on Gene Expression Programming. [Citation Graph (0, 0)][DBLP]
    WISI, 2006, pp:133-138 [Conf]
  49. Jing Peng, Bir Bhanu
    Learning to Perceive Objects for Autonomous Navigation. [Citation Graph (0, 0)][DBLP]
    Auton. Robots, 1999, v:6, n:2, pp:187-201 [Journal]
  50. Jing Peng
    Multi-class relevance feedback content-based image retrieval. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2003, v:90, n:1, pp:42-67 [Journal]
  51. Jing Peng, Bir Bhanu, Shan Qing
    Probabilistic Feature Relevance Learning for Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 1999, v:75, n:1-2, pp:150-164 [Journal]
  52. Anna Hac, Jing Peng
    A two-phase combined QoS-based handoff scheme in a wireless ATM network. [Citation Graph (0, 0)][DBLP]
    Int. Journal of Network Management, 2001, v:11, n:5, pp:309-330 [Journal]
  53. Bikramjit Banerjee, Sandip Sen, Jing Peng
    On-policy concurrent reinforcement learning. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 2004, v:16, n:4, pp:245-260 [Journal]
  54. Jing Peng, Ronald J. Williams
    Incremental Multi-Step Q-Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1996, v:22, n:1-3, pp:283-290 [Journal]
  55. Douglas R. Heisterkamp, Jing Peng
    Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases. [Citation Graph (0, 0)][DBLP]
    Multimedia Tools Appl., 2005, v:26, n:2, pp:175-189 [Journal]
  56. Bir Bhanu, Yingqiang Lin, Grinnell Jones, Jing Peng
    Adaptive target recognition. [Citation Graph (0, 0)][DBLP]
    Mach. Vis. Appl., 2000, v:11, n:6, pp:289-299 [Journal]
  57. Iker Gondra, Douglas R. Heisterkamp, Jing Peng
    Improving image retrieval performance by inter-query learning with one-class support vector machines. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2004, v:13, n:2, pp:130-139 [Journal]
  58. ByoungChul Ko, Jing Peng, Hyeran Byun
    Region-based Image Retrieval Using Probabilistic Feature Relevance Learning. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2001, v:4, n:2-3, pp:174-184 [Journal]
  59. Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos
    Locally Adaptive Metric Nearest-Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:9, pp:1281-1285 [Journal]
  60. Jing Peng, Bir Bhanu
    Closed-Loop Object Recognition Using Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:2, pp:139-154 [Journal]
  61. Jing Peng, Douglas R. Heisterkamp, H. K. Dai
    Adaptive Quasiconformal Kernel Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:5, pp:656-661 [Journal]
  62. Jing Peng, Bir Bhanu
    Local discriminative learning for pattern recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:1, pp:139-150 [Journal]
  63. Jing Peng, Bir Bhanu
    Independent feature analysis for image retrieval. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2001, v:22, n:1, pp:63-74 [Journal]
  64. Jing Peng, Dong Zhang, Yuncai Liu
    An improved snake model for building detection from urban aerial images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:5, pp:587-595 [Journal]
  65. Bir Bhanu, Jing Peng
    Adaptive integrated image segmentation and object recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part C, 2000, v:30, n:4, pp:427-441 [Journal]
  66. Peng Zhang, Jing Peng, Carlotta Domeniconi
    Kernel pooled local subspaces for classification. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2005, v:35, n:3, pp:489-502 [Journal]
  67. Jing Peng, Dongqing Yang, Changjie Tang, Jing Zhang, Jianjun Hu
    CACS: A Novel Classification Algorithm Based on Concept Similarity. [Citation Graph (0, 0)][DBLP]
    ADMA, 2007, pp:500-507 [Conf]
  68. Jing Peng, Changjie Tang, Dongqing Yang, An-long Chen, Lei Duan
    A Coding Hierarchy Computing Based Clustering Algorithm. [Citation Graph (0, 0)][DBLP]
    ADMA, 2007, pp:110-121 [Conf]
  69. Jing Peng, Kenji Araki
    Zero Anaphora Resolution in Chinese and Its Application in Chinese-English Machine Translation. [Citation Graph (0, 0)][DBLP]
    NLDB, 2007, pp:364-375 [Conf]

  70. Intelligent Time-Aware Query Translation for Text Sources. [Citation Graph (, )][DBLP]


  71. RVsigma(t): a unifying approach to performance and convergence in online multiagent learning. [Citation Graph (, )][DBLP]


  72. Automatic Classification of Article Errors in L2 Written English. [Citation Graph (, )][DBLP]


  73. PartSpan: Parallel Sequence Mining of Trajectory Patterns. [Citation Graph (, )][DBLP]


  74. A Concept Similarity Based Text Classification Algorithm. [Citation Graph (, )][DBLP]


  75. Weighted Additive Criterion for Linear Dimension Reduction. [Citation Graph (, )][DBLP]


  76. Graph-Based Iterative Hybrid Feature Selection. [Citation Graph (, )][DBLP]


  77. Cross domain distribution adaptation via kernel mapping. [Citation Graph (, )][DBLP]


  78. Universal Learning over Related Distributions and Adaptive Graph Transduction. [Citation Graph (, )][DBLP]


  79. Generalized and Heuristic-Free Feature Construction for Improved Accuracy. [Citation Graph (, )][DBLP]


  80. Efficient k-Closest-Pair Range-Queries in Spatial Databases. [Citation Graph (, )][DBLP]


  81. Mining Contrast Inequalities in Numeric Dataset. [Citation Graph (, )][DBLP]


  82. Latent space domain transfer between high dimensional overlapping distributions. [Citation Graph (, )][DBLP]


  83. Generalized multiagent learning with performance bound. [Citation Graph (, )][DBLP]


  84. Similarity computing model of high dimension data for symptom classification of Chinese traditional medicine. [Citation Graph (, )][DBLP]


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