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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/8522
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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PUJOL VILA, Oriol, RADEVA, Petia and VITRIÀ I MARCA, Jordi. Discriminant ECOC: a heuristic method for application dependent design of error correcting output codes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2006. Vol. 28, num. 6, pags. 1007-1012. ISSN 0162-8828. [consulted: 13 of June of 2026]. Available at: https://hdl.handle.net/2445/8522