English

Designing various component analysis at will

Computer Vision and Pattern Recognition 2012-10-09 v2 Numerical Analysis Methodology Machine Learning

Abstract

This paper provides a generic framework of component analysis (CA) methods introducing a new expression for scatter matrices and Gram matrices, called Generalized Pairwise Expression (GPE). This expression is quite compact but highly powerful: The framework includes not only (1) the standard CA methods but also (2) several regularization techniques, (3) weighted extensions, (4) some clustering methods, and (5) their semi-supervised extensions. This paper also presents quite a simple methodology for designing a desired CA method from the proposed framework: Adopting the known GPEs as templates, and generating a new method by combining these templates appropriately.

Cite

@article{arxiv.1207.3554,
  title  = {Designing various component analysis at will},
  author = {Akisato Kimura and Masashi Sugiyama and Sakano Hitoshi and Hirokazu Kameoka},
  journal= {arXiv preprint arXiv:1207.3554},
  year   = {2012}
}

Comments

Accepted to IAPR International Conference on Pattern Recognition, submitted to IPSJ Transactions on Mathematical Modeling and its Applications (TOM). Just only one-page abstract for new due to novelty violation for journal submission. The details will be disclosed in late September

R2 v1 2026-06-21T21:35:56.237Z