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

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3 Author(s)
Pujol, O. ; Dept. de Matematica Aplicada i Analisi, Univ. de Barcelona, Spain ; Radeva, P. ; Vitria, J.

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.

Published in:

Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:28 ,  Issue: 6 )

Date of Publication:

June 2006

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