The Diversity of Classifiers and Its Applications to Combination |
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| Authors: | Wang Xiaolong Liu Jiafeng |
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| Institution: | 1. Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin 150001, P.R.China
2. Department of Computer Science and Engineering, Harbin Institute of Technology Harbin 150001, P.R.China |
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| Abstract: | In various application areas of pattern recognition, combing multiple classifiers is regarded as a new method for achieving a substantial gain in performance of systems. This paper discusses the properties of the diversity of classifiers and its applications. At the same time, the paper presents a novel method for combining multiple classifiers based on the diversity. Fusion strategies are discussed for providing a basis for combing classifiers. These combination strategies are experimentally tested on online handwritten Chinese character recognition system and their effectiveness is considered. |
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| Keywords: | combing multiple classifiers diversity fusion strategies handwritten Chinese character recognition |
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