Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata

Abstract

ÐPerceptual organization offers an elegant framework to group low-level features that are likely to come from a single object. We offer a novel strategy to adapt this grouping process to objects in a domain. Given a set of training images of objects in context, the associated learning process decides on the relative importance of the basic salient… (More)
DOI: 10.1109/34.857006

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