Combination of Multiple Features in Support Vector Machine with Principal Component Analysis in Application for Alzheimer's Disease Diagnosis. Lee, J., Su, S., Huang, C., Wang, J., Xu, W., Wei, Y., & Lee, S. In Leung, C., Lee, M., & Chan, J. H., editors, ICONIP (2), volume 5864, of Lecture Notes in Computer Science, pages 512-519, 2009. Springer.
Combination of Multiple Features in Support Vector Machine with Principal Component Analysis in Application for Alzheimer's Disease Diagnosis. [link]Link  Combination of Multiple Features in Support Vector Machine with Principal Component Analysis in Application for Alzheimer's Disease Diagnosis. [link]Paper  bibtex   
@inproceedings{conf/iconip/LeeSHWXWL09,
  author = {Lee, Jiann-Der and Su, Shau-Chiuan and Huang, Chung-Hsien and Wang, Jiun-Jie and Xu, Wen-Chuin and Wei, You-You and Lee, Shin-Tseng},
  booktitle = {ICONIP (2)},
  crossref = {conf/iconip/2009-4},
  editor = {Leung, Chi-Sing and Lee, Minho and Chan, Jonathan Hoyin},
  ee = {http://dx.doi.org/10.1007/978-3-642-10684-2_57},
  interhash = {5a7dcbec3c1f175dbce847c767b0b059},
  intrahash = {0a14baa361eb17aa3bc94ed72224409f},
  isbn = {978-3-642-10682-8},
  pages = {512-519},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Combination of Multiple Features in Support Vector Machine with Principal Component Analysis in Application for Alzheimer's Disease Diagnosis.},
  url = {http://dblp.uni-trier.de/db/conf/iconip/iconip2009-4.html#LeeSHWXWL09},
  volume = 5864,
  year = 2009
}

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