JACIII Vol.11 No.6 pp. 662-667
doi: 10.20965/jaciii.2007.p0662


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

January 15, 2007
March 20, 2007
July 20, 2007
observable Markov model, written language recognition, spam email recognition, typist recognition, fuzzy modeling
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.
Cite this article as:
D. Tran, W. Ma, and D. Sharma, “Fuzzy Observable Markov Models for Pattern Recognition,” J. Adv. Comput. Intell. Intell. Inform., Vol.11 No.6, pp. 662-667, 2007.
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