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

詳細情報 詳細情報について

問題の指摘

ページトップへ