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

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Figure

Table 2 shows the basic algorithm for creating the code column binary tree (CCBT). In the algorithm, d is a discrete random variable, so that, given a binary partition f} 1 k ; } 2 k g of the set S k , f} 1 k ; } 2 k g ¼ BP ðS k Þ, d is defined in the foll
Fig. 1. Example of conversion from the binary tree to the ECOC matrix.
Fig. 2. (a) The 32 different signal classes to recognize. (b) Discriminant ECOC matrix created for the signal recognition system and partitions at the first, third, sixth, and seventh columns.

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