Kernel Relative Principal Component Analysis for Pattern Recognition

Yoshikazu Washizawa, Kenji Hikida, Toshihisa Tanaka, Yukihiko Yamashita. Kernel Relative Principal Component Analysis for Pattern Recognition. In Ana L. N. Fred, Terry Caelli, Robert P. W. Duin, Aurélio C. Campilho, Dick de Ridder, editors, Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings. Volume 3138 of Lecture Notes in Computer Science, pages 1105-1113, Springer, 2004. [doi]

@inproceedings{WashizawaHTY04,
  title = {Kernel Relative Principal Component Analysis for Pattern Recognition},
  author = {Yoshikazu Washizawa and Kenji Hikida and Toshihisa Tanaka and Yukihiko Yamashita},
  year = {2004},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3138&spage=1105},
  tags = {analysis},
  researchr = {https://researchr.org/publication/WashizawaHTY04},
  cites = {0},
  citedby = {0},
  pages = {1105-1113},
  booktitle = {Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings},
  editor = {Ana L. N. Fred and Terry Caelli and Robert P. W. Duin and Aurélio C. Campilho and Dick de Ridder},
  volume = {3138},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-22570-6},
}