Coevolutionary feature learning for object recognition

Authors:
Krzysztof Krawiec;Bir Bhanu
Affiliations:
Center for Research in Intelligent Systems, University of California, Riverside, CA;Center for Research in Intelligent Systems, University of California, Riverside, CA
Venue:
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Year:
2003

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Abstract

In this paper, we consider the task of automatic synthesis/learning of pattern recognition systems. In particular, a method is proposed that, given exclusively training raster images, synthesizes complete feature-based recognition system. The proposed approach is general and does not require any assumptions concerning training data and application domain. Its novelty consists in procedural representation of features for recognition and utilization of coevolutionary computation for their synthesis. The paper describes the synthesis algorithm, outlines the architecture of the synthesized system, provides firm rationale for its design, and evaluates it experimentally on the real-world task of target recognition in synthetic aperture radar (SAR) imagery.