Type-2 Fuzzy Graphical Models for Pattern Recognition

This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zeng, Jia (Autor), Liu, Zhi-Qiang (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Studies in Computational Intelligence, 591
Temas:
Computational intelligence.
Artificial intelligence.
Pattern recognition systems.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Automated Pattern Recognition.
Signal, Speech and Image Processing .
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Type-2 Fuzzy Graphical Models for Pattern Recognition  |h [electronic resource] /  |c by Jia Zeng, Zhi-Qiang Liu. 
250 |a 1st ed. 2015. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2015. 
300 |a XIII, 201 p. 112 illus.  |b online resource. 
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490 1 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 591 
505 0 |a Introduction -- Probabilistic Graphical Models -- Type-2 Fuzzy Sets for Pattern Recognition -- Type-2 Fuzzy Gaussian Mixture Models -- Type-2 Fuzzy Hidden Moarkov Models -- Type-2 Fuzzy Markov Random Fields -- Type-2 Fuzzy Topic Models -- Conclusions and FutureWork. 
520 |a This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while also providing a comprehensive introduction to the fields of type-2 fuzzy sets and graphical models. Though primarily intended for graduate students, researchers and practitioners in fuzzy logic and pattern recognition, the book can also serve as a valuable reference work for researchers without any previous knowledge of these fields. Dr. Jia Zeng is a Professor at the School of Computer Science and Technology, Soochow University, China. Dr. Zhi-Qiang Liu is a Professor at the School of Creative Media, City University of Hong Kong, China. 
650 0 |a Computational intelligence. 
650 0 |a Artificial intelligence. 
650 0 |a Pattern recognition systems. 
650 0 |a Signal processing. 
650 1 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Automated Pattern Recognition. 
650 2 4 |a Signal, Speech and Image Processing . 
700 1 |a Liu, Zhi-Qiang.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783662446911 
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830 0 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 591 
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950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712) 

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