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

By Oriol Pujol, Petia Radeva and Jordi Vitrià


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. Index Terms—Multiple classifiers, multiclass classification, visual object recognition.

Year: 2006
DOI identifier: 10.1109/tpami.2006.116
OAI identifier: oai:CiteSeerX.psu:
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