Fuzzy Observable Markov Models for Pattern Recognition
Dat Tran, Wanli Ma, and Dharmendra Sharma
School of Information Sciences and Engineering, University of Canberra, ACT 2601, Australia
This paper presents a mathematical framework for fuzzy discrete and continuous observable Markov models (OMMs) and their applications to written language, spam email and typist recognition. Experimental results show that the proposed OMMs are more effective than models such as vector quantization, Gaussian mixture model and hidden Markov model.
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