Jing Peng

Bikramjit Banerjee, Jing Peng, Jing Peng, 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

Adaptive policy gradient in multiagent learning

Bikramjit Banerjee, Jing Peng, Jing Peng, 2003, AAMAS '03.

Convergent Gradient Ascent in General-Sum Games

Jing Peng, Bikramjit Banerjee, 2002, ECML.

Efficient Learning and Planning Within the Dyna Framework

J. Peng, R.J. Williams, Ronald J. Williams, 1993, IEEE International Conference on Neural Networks.

Finite Sample Error Bound for Parzen Windows

Jing Peng, Peng Zhang, Norbert Riedel, 2005, AAAI.

Discriminant Analysis: A Least Squares Approximation View

Jing Peng, Peng Zhang, Norbert Riedel, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

Efficient Regularized Least Squares Classification

Jing Peng, Peng Zhang, Jing Peng, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Parzen Windows: Simplest Regularization Algorithm

Peng Zhang, Jing Peng, Jing Peng, 2018, Handbook of Dynamic Data Driven Applications Systems.

New subspace methods for ATR

Jing Peng, Peng Zhang, S. Richard F. Sims, 2005, SPIE Defense + Commercial Sensing.

Kernel pooled local subspaces for classification

Jing Peng, Carlotta Domeniconi, Peng Zhang, 2003, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Kernel Pooled Local Subspaces for Classification

Jing Peng, Carlotta Domeniconi, Peng Zhang, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

SVM vs regularized least squares classification

Jing Peng, Peng Zhang, Jing Peng, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Kernel VA-files for relevance feedback retrieva

Jing Peng, Douglas R. Heisterkamp, Jing Peng, 2003, MMDB '03.

Function Optimization using Connectionist Reinforcement Learning Algorithms

Jing Peng, Ronald J. Williams, Ronald J. Williams, 1991 .

Locally Adaptive Metric Nearest-Neighbor Classification

Dimitrios Gunopulos, Jing Peng, Carlotta Domeniconi, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Local discriminative learning for pattern recognition

Bir Bhanu, Jing Peng, Jing Peng, 2001, Pattern Recognit..

Multi-class relevance feedback content-based image retrieval

Jing Peng, Jing Peng, 2003, Comput. Vis. Image Underst..

Probabilistic Feature Relevance Learning for Content-Based Image Retrieval

Bir Bhanu, Jing Peng, Shan Qing, 1999, Comput. Vis. Image Underst..

Adaptive quasiconformal kernel nearest neighbor classification

Jing Peng, H. K. Dai, Douglas R. Heisterkamp, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

LDA/SVM driven nearest neighbor classification

Jing Peng, H. K. Dai, Douglas R. Heisterkamp, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Adaptive quasiconformal kernel metric for image retrieval

Jing Peng, H. K. Dai, Douglas R. Heisterkamp, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

Improving image retrieval performance by inter-query learning with one-class support vector machines

Jing Peng, Douglas R. Heisterkamp, Iker Gondra, 2004, Neural Computing & Applications.

Improving the Initial Image Retrieval Set by Inter-Query Learning with One-Class SVMs

Jing Peng, Douglas R. Heisterkamp, Iker Gondra, 2003 .

Active Learning Using One-class Classification

Jing Peng, Bill P. Buckles, Ibrahim Gokcen, 2002, International Conference on Health Information Science.

Adaptive integrated image segmentation and object recognition

Bir Bhanu, Jing Peng, Jing Peng, 2000, IEEE Trans. Syst. Man Cybern. Part C.

Learning Optimal Filter Representation for Texture Classification

Jing Peng, Bill P. Buckles, Peng Zhang, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Adaptive target recognition

Jing Peng, B. Bhanu, Yingqiang Lin, 1999, Proceedings IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications (CVBVS'99).

Learning through changes: an empirical study of dynamic behaviors of probability estimation trees

Kun Zhang, Jing Peng, Bill P. Buckles, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Efficient learning of multi-step best response

Bikramjit Banerjee, Jing Peng, Jing Peng, 2005, AAMAS '05.

Dimensionality reduction using kernel pooled local discriminant information

Jing Peng, Carlotta Domeniconi, Peng Zhang, 2003, Third IEEE International Conference on Data Mining.

An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories

Ronald J. Williams, Jing Peng, 1990, Neural Computation.

Adaptive metric nearest neighbor classification

Dimitrios Gunopulos, Jing Peng, Carlotta Domeniconi, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Kernel indexing for relevance feedback image retrieval

Jing Peng, Douglas R. Heisterkamp, Jing Peng, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).