ICA mixture models for image processing

Abstract

We apply a probabilistic method for learning efficient image codes to the problem of unsupervised classification, segmentation and de-noising of images. The method is based on the Independent Component Analysis (ICA) mixture model proposed for unsupervised classification and automatic context switching in blind source separation [I]. In this paper, we… (More)

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