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Searching for a binary factorial code using the ICA framework

delete1998-11-01
delete0
PRE
AI
F
F. Palmieri *
A
Alessandra Budillon
D
Davide Mattera
DOI：10.1016/S0925-2312(98)00053-8delete
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Abstract

Abstract

En 中文
A binary factorial code is a transformation that maps the input space into a binary string with independent bits. We apply independent component analysis, formulated as a density search, to the pursuit of such a code by considering a set of desired output bi-modal density functions. The idea is tested on a real image with the coder used also in a reversed order as a generative model. The results are also compared to a principal component analyzer. Fantasy blocks of the image transforms provide interesting clues on the nature of the learned representations. (C) 1998 Elsevier Science B.V. All rights reserved.
Keywords:
independent component analysis
generative models
factorial codes

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

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No organization information available