Exploring the effects of scatter matrices, eigenvalue decomposition methods, and regularization techniques in feature extractions for small sample size classification problem

Bor-Chen Kuo, Kuang-Yu Chang, Shu-Chuan Shih, Shih-Hsun Li. Exploring the effects of scatter matrices, eigenvalue decomposition methods, and regularization techniques in feature extractions for small sample size classification problem. In IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2005, July 25-29, 2005, Seoul, Korea, Proceedings. pages 1249-1252, IEEE, 2005. [doi]

@inproceedings{KuoCSL05-0,
  title = {Exploring the effects of scatter matrices, eigenvalue decomposition methods, and regularization techniques in feature extractions for small sample size classification problem},
  author = {Bor-Chen Kuo and Kuang-Yu Chang and Shu-Chuan Shih and Shih-Hsun Li},
  year = {2005},
  doi = {10.1109/IGARSS.2005.1525345},
  url = {http://dx.doi.org/10.1109/IGARSS.2005.1525345},
  researchr = {https://researchr.org/publication/KuoCSL05-0},
  cites = {0},
  citedby = {0},
  pages = {1249-1252},
  booktitle = {IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2005, July 25-29, 2005, Seoul, Korea, Proceedings},
  publisher = {IEEE},
  isbn = {0-7803-9050-4},
}