A subclass-based mixture model for pattern recognition
説明
A classifier based on a mixture model is proposed. The expectation maximisation algorithm for construction of a mixture density is sensitive to the initial densities. It is also difficult to determine the optimal number of component densities. In this study, we construct a mixture density on the basis of a hyper-rectangles found in the subclass method, in which the number of components is determined automatically. Experimental results show the effectiveness of this approach.
収録刊行物
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- Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)
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Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170) 1 870-872, 2002-11-27
IEEE Comput. Soc