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

Oriol Pujol; Petia Radeva; Jordi Vitrià

doi:10.1109/tpami.2006.116

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

Oriol Pujol·Petia Radeva·Jordi Vitrià

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Abstract

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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Algorithms Artificial Intelligence Discriminant Analysis Image Enhancement Image Interpretation, Computer-Assisted Information Storage and Retrieval Pattern Recognition, Automated Evaluation Study Journal Article Research Support, Non-U.S. Gov't

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Oriol Pujol, Petia Radeva, Jordi Vitrià. 2006. Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes.. https://doi.org/10.1109/tpami.2006.116

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