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Abstract: We explore the role of features in solving problems in computer vision and learning. Features captures important domain-dependent knowledge and are fun- damental in simplifying problems. Our goal is to consider the universal features of the problem concerned, and not just particular algorithms used in its solution. Such an approach reveals only the fundamental difficulties of any problem. For most problems we will face a host of other specialized concerns. Therefore, we consider simplified... (Update)
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BibTeX entry: (Update)
@misc{ rudra-informative,
author = "A. Rudra",
title = "Informative Features in Vision and Learning",
url = "citeseer.ist.psu.edu/rudra02informative.html" }
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