Subclass Problem-Dependent Design for Error-Correcting Output Codes

A common way to model multiclass classification problems is by means of Error-Correcting Output Codes (ECOCs). Given a multiclass problem, the ECOC technique designs a code word for each class, where each position of the code identifies the membership of the class for a given binary problem. A classification decision is obtained by assigning the label of the class with the closest code. One of the main requirements of the ECOC design is that the base classifier is capable of splitting each subgroup of classes from each binary problem. However, we cannot guarantee that a linear classifier model convex regions. Furthermore, nonlinear classifiers also fail to manage some type of surfaces. In this paper, we present a novel strategy to model multiclass classification problems using subclass information in the ECOC framework. Complex problems are solved by splitting the original set of classes into subclasses and embedding the binary problems in a problem-dependent ECOC design. Experimental ...

• Type: Journal
• Year: 2008
• Where: PAMI
• Authors: Sergio Escalera, David M. J. Tax, Oriol Pujol, Petia Radeva, Robert P. W. Duin
• Keywords: Base Classifier, Binary Problems, Multiclass Classification Problems, PAMI 2006, PAMI 2008