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We present a framework to recognize objects in images based on their silhouettes. In previous work we developed translation and rotation invariant classification algorithms for textures based on Fourier transforms in the polar space followed by dimensionality reduction. Here we present a new approach to recognizing shapes by following a similar classification step with a "soft" retrieval...
Artificial Immune Systems (AISs) emerged in 1990s. The capability of AISs for learning new information, recalling what has been learned and recognizing a decentralized pattern are reasons why numerous models have been developed, implemented and used in various types of problems. This paper describes the implementation of AISs in solving an image classification problem. The Clonal Selection Algorithm...
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