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In the pattern recognition field, error-correcting output codes (ECOC) are a powerful tool to fuse any number of binary classifiers to model multiclass problems, and the research of encoding based on data is attracting more and more attention. In this paper, we are going to propose a new encoding method for constructing subclass Error-Correcting Output Codes, which was first introduced by Escalera...
Error correcting output codes(ECOC) is an effective frame that can decompose a multiclass problem into a set of complementary two-class problems, and the research of encoding based on data especially attracts attentions. In this paper, we propose a new encoding method CMECOC for constructing ECOC adaptively based on confusion matrix, first, we obtain the separability measure between each pair of patterns...
The characteristic of the probabilistic outputs via least square error-correcting output codes (LS-ECOC) is investigated in this paper, the conclusion that the unbiased probability estimation can be obtained by LS-ECOC is proved; and the corresponding classification performances are investigated. Experimental results indicate the correctness of our conclusion.
Error-correcting output codes (ECOC) is an efficient method to solve the problem of multi-class classification, and how to get the accurate probability estimation via ECOC is also attractive for many applications. The characteristic of the probabilistic outputs via random ECOC is analyzed in this paper, and the proof is given for that the probability output based on random ECOC is the unbiased estimation...
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