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Type-2 fuzzy graphical models for pa...

Zeng, Jia.

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Type-2 fuzzy graphical models for pattern recognition

Record Type:	Electronic resources : Monograph/item
Title/Author:	Type-2 fuzzy graphical models for pattern recognition/ by Jia Zeng, Zhi-Qiang Liu.
Author:	Zeng, Jia.
other author:	Liu, Zhi-Qiang.
Published:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2015.,
Description:	xiii, 201 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Pattern recognition systems. -
Online resource:	http://dx.doi.org/10.1007/978-3-662-44690-4
ISBN:	9783662446904 (electronic bk.)

Type-2 fuzzy graphical models for pattern recognition
Zeng, Jia.

Type-2 fuzzy graphical models for pattern recognition[electronic resource] /by Jia Zeng, Zhi-Qiang Liu. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xiii, 201 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.5911860-949X ;. - Studies in computational intelligence ;v.379..

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.

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.

ISBN: 9783662446904 (electronic bk.)

Standard No.: 10.1007/978-3-662-44690-4doiSubjects--Topical Terms:

527885
Pattern recognition systems.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Type-2 fuzzy graphical models for pattern recognition
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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.
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490 1 $a Studies in computational intelligence, $x 1860-949X ; $v 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.
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650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
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650 2 4 $a Signal, Image and Speech Processing. $3 891073
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