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Type-2 fuzzy graphical models for pa...
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Liu, Zhi-Qiang.
Type-2 fuzzy graphical models for pattern recognition
Record Type:
Electronic resources : Monograph/item
Title/Author:
Type-2 fuzzy graphical models for pattern recognitionby 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.
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. 216..
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:
183725
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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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.
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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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http://dx.doi.org/10.1007/978-3-662-44690-4
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