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PD

Description: PD is a package for learning non-metric partial similarity based on maximal margin criterion. The package includes the MATLAB code of the algorithms and a demo with data.

References:

1 X. Tan, S. Chen, Z.-H. Zhou, and J. Liu. Learning non-metric partial similarity based on maximal margin criterion. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06), New York, NY, 2006, pp.138-145.

2 X. Tan, S. Chen, Z.-H. Zhou, and J. Liu. Face recognition under occlusions and variant expressions with partial similarity. IEEE Transactions on Information Forensics and Security.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (zhouzh@nju.edu.cn).

Requirement: The package was developed with MATLAB.

ATTN2: This package was developed by Dr. Xiaoyang Tan (x.tan@nuaa.edu.cn). For any problem concerning the code, please feel free to contact Dr. Tan.

Download: code (2.69Mb)
  Name Size
- PD.rar 2.69 MB

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