PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Orthogonal ICA Representation of Images
Zhong Jin and Franck Davoine
In: Eighth International Conference on Control, Automation, Robotics and Vision, 6-9 December 2004, Kunming, China.

Abstract

Firstly, this paper answered one interesting question: what is orthogonal in ICA? We discussed the non-orthogonality of ICA transformation and claimed that the independent components (ICs) by the FastICA algorithm are orthogonal. Based on this orthogonality, an orthogonal ICA representation (OICA) of images was proposed. Experiments on ORL database, Yale database and CMU database with OICA were performed. More work is needed to discover any advantage of OICA.

EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:503
Deposited By:Franck Davoine
Deposited On:01 January 2005

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