Searching for a binary factorial code using the ICA framework

Citation
F. Palmieri et al., Searching for a binary factorial code using the ICA framework, NEUROCOMPUT, 22(1-3), 1998, pp. 131-144
Citations number
16
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
NEUROCOMPUTING
ISSN journal
09252312 → ACNP
Volume
22
Issue
1-3
Year of publication
1998
Pages
131 - 144
Database
ISI
SICI code
0925-2312(199811)22:1-3<131:SFABFC>2.0.ZU;2-E
Abstract
A binary factorial code is a transformation that maps the input space into a binary string with independent bits. We apply independent component analy sis, formulated as a density search, to the pursuit of such a code by consi dering a set of desired output bi-modal density functions. The idea is test ed on a real image with the coder used also in a reversed order as a genera tive model. The results are also compared to a principal component analyzer . Fantasy blocks of the image transforms provide interesting clues on the n ature of the learned representations. (C) 1998 Elsevier Science B.V. All ri ghts reserved.