Journal
NEUROCOMPUTING
Volume 52-4, Issue -, Pages 547-552Publisher
ELSEVIER
DOI: 10.1016/S0925-2312(02)00782-8
Keywords
natural image statistics; sparse coding; non-negative representations
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An important approach in visual neuroscience considers how the processing of the early visual system is dependent on the statistics of the natural environment. A particularly influential model in this respect has been sparse coding. In this paper we argue for a non-negative variant of the model. This is based partly on neurophysiological grounds and partly on the intuitive understanding of parts-based representations. We discuss the logic behind our reasoning and show experiments on natural images demonstrating the usefulness of the new model. (C) 2003 Elsevier Science B.V. All rights reserved.
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