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Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes

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We present a heuristic method for learning error correcting output codes matrices based on a hierarchical partition of the class space that maximizes a discriminative criterion. To achieve this goal, the optimal codeword separation is sacrificed in favor of a maximum class discrimination in the partitions. The creation of the hierarchical partition set is performed using a binary tree. As a result, a compact matrix with high discrimination power is obtained. Our method is validated using the UCI database and applied to a real problem, the classification of traffic sign images.

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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, vol. 28, núm. 6, p. 1007-1012.

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Articles publicats en revistes (Matemàtiques i Informàtica)

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Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes