Hidden Markov chain estimation and parameterisation via ICA-based feature-selection

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Published in	Pattern analysis and applications : PAA Vol. 8; no. 1-2; pp. 115 - 124
Main Authors	Windridge, David, Bowden, Richard
Format	Journal Article
Language	English
Published	Heidelberg Springer 01.09.2005
Subjects	Applied sciences Artificial intelligence Computer science; control theory; systems Exact sciences and technology Pattern recognition. Digital image processing. Computational geometry Markov process Density estimation Automatic classification Feature selection ICA Independent component analysis Parameterisation Parameterization Sign-recognition Feature-selection Sign language Feature-spaces Hidden Markov models Hidden Markov model
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ISSN	1433-7541 1433-755X
DOI	10.1007/s10044-005-0249-2

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Author	Bowden, Richard Windridge, David
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Keywords	Markov process Density estimation Automatic classification Feature selection ICA Independent component analysis Parameterisation Parameterization Sign-recognition Feature-selection Sign language Feature-spaces Hidden Markov models Hidden Markov model
Language	English
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References	249_CR17 RB Ash (249_CR4) 1965 249_CR9 ME Brand (249_CR10) 1999; 11 B McCane (249_CR2) 2004; 37 249_CR8 249_CR7 249_CR18 KF Lee (249_CR11) 1989 L Baum (249_CR13) 1967; 73 249_CR12 Devijver (249_CR16) 1982; recognition 249_CR15 M Brand (249_CR3) 2000; 22 249_CR1 249_CR6 Smith (249_CR20) 1990; sense 249_CR5 A Hyvrinen (249_CR14) 2000; 13 Vogler (249_CR19) 1999; Recognition J Sturges (249_CR21) 1995; 20
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SubjectTerms	Applied sciences Artificial intelligence Computer science; control theory; systems Exact sciences and technology Pattern recognition. Digital image processing. Computational geometry
Title	Hidden Markov chain estimation and parameterisation via ICA-based feature-selection
Volume	8
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