Fuzzy Observable Markov Models for Pattern Recognition
2007 ◽
Vol 11
(6)
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pp. 662-667
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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.
2021 ◽
pp. 036119812199938
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2019 ◽
Vol 1375
◽
pp. 012057
2019 ◽
Vol 24
(1)
◽
pp. 14
◽
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2018 ◽
Vol 564
◽
pp. 1194-1207
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