LEI Lei, WANG Xiao-dan, LUO Xi, et al. An Overview of Multi-Classification Based on Error-Correcting Output Codes[J]. Acta Electronica Sinica, 2014, 42(9): 1794-1800.
DOI:
LEI Lei, WANG Xiao-dan, LUO Xi, et al. An Overview of Multi-Classification Based on Error-Correcting Output Codes[J]. Acta Electronica Sinica, 2014, 42(9): 1794-1800. DOI: 10.3969/j.issn.0372-2112.2014.09.020.
An Overview of Multi-Classification Based on Error-Correcting Output Codes
Multi-classification has been one of the research hotspot in pattern recognition
and there are many solutions to it.As a common way to model multi-classification to design a set of binary classifiers and fuse them
Error-correcting output codes(ECOC) represents a successful framework to deal with this type of problems and is attracting more and more attention of researchers.In this paper
the framework of ECOC is concluded at first.Then the two keys of multi-classification based on ECOC
i.e.
the coding strategies and decoding strategies are proposed.The main part focuses on the research of the two keys and the application of ECOC.Finally
the still existing problems of ECOC are pointed out and the promising research fields are given.The analysis of the paper will provide reference and advice in the practical application of multi-classification based on ECOC.