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My Papers

  1. S. Zeng, J. Gou, L. Deng, An Antinoise Sparse Representation Method for Robust Face Recognition via Joint l1 and l2 Regularization, Expert Systems with Applications (2017), doi:10.1016/j.eswa.2017.04.001. [SCI, Code, Paper]
  2. S. Zeng, J. Gou, X. Yang, Improving sparsity of coefficients for robust sparse and collaborative representation-based image classification, Neural Computing & Applications (2017), doi:10.1007/s00521-017-2900-4. [SCI, Code, Paper]
  3. S. Zeng, X. Yang, J. Gou, Multiplication fusion of sparse and collaborative representation for robust face recognition, Multimedia Tools and Applications (2016). doi:10.1007/s11042-016-4035-5. [SCI, Code, Paper]
  4. S. Zeng, X. Yang, Weighted average integration of sparse representation and collaborative representation for robust face recognition, Computational Visual Media (2016) 2(4):357-365. doi:10.1007/s41095-016-0061-5. [Code, Paper]
  5. S. Zeng, X. Yang, J. Gou, J. Wen, Integrating absolute distances in collaborative representation for robust image classification, CAAI Transactions on Intelligence Technology (2016) 1(2):189–196. [Code, Paper]

Education

  1. 曾少宁. 基于GitHub平台的协同式实验教学方法[J]. 计算机教育, 2016(12):144-148. [Code, Paper]

Dataset copies

Senthil IRTT 1.2 - https://github.com/zengsn/research/tree/master/Senthil_IRTT_12

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  • MATLAB 82.7%
  • Java 17.3%