Canonical Correlation Analysis: An Overview with Application to Learning Methods

David R. Hardoon, Sándor Szedmák, John Shawe-Taylor. Canonical Correlation Analysis: An Overview with Application to Learning Methods. Neural Computation, 16(12):2639-2664, 2004. [doi]

@article{HardoonSS04,
  title = {Canonical Correlation Analysis: An Overview with Application to Learning Methods},
  author = {David R. Hardoon and Sándor Szedmák and John Shawe-Taylor},
  year = {2004},
  url = {http://neco.mitpress.org/cgi/content/abstract/16/12/2639},
  tags = {analysis},
  researchr = {https://researchr.org/publication/HardoonSS04},
  cites = {0},
  citedby = {0},
  journal = {Neural Computation},
  volume = {16},
  number = {12},
  pages = {2639-2664},
}