Image compression using a stochastic competitive learning algorithm (SCoLA)

Abstract

In this article we introduce a new stochastic competitive learning algorithm (SCoLA) and apply it to vector quantization for image compression. In competitive learning, the training process involves presenting, simultaneously, an input vector to each of the competing neurons, which then compare the input vector to their own weight vectors and one of them is… (More)
DOI: 10.1109/ISSPA.2001.950200

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