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2009
Springer

Recoding Error-Correcting Output Codes

9 years 4 months ago
Recoding Error-Correcting Output Codes
Abstract. One of the most widely applied techniques to deal with multiclass categorization problems is the pairwise voting procedure. Recently, this classical approach has been embedded in the Error-Correcting Output Codes framework (ECOC). This framework is based on a coding step, where a set of binary problems are learnt and coded in a matrix, and a decoding step, where a new sample is tested and classified according to a comparison with the positions of the coded matrix. In this paper, we present a novel approach to redefine without retraining, in a problem-dependent way, the one-versus-one coding matrix so that the new coded information increases the generalization capability of the system. Moreover, the final classification can be tuned with the inclusion of a weighting matrix in the decoding step. The approach has been validated over several UCI Machine Learning repository data sets and two real multi-class problems: traffic sign and face categorization. The results show that...
Sergio Escalera, Oriol Pujol, Petia Radeva
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where MCS
Authors Sergio Escalera, Oriol Pujol, Petia Radeva
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