Type-2 Fuzzy Graphical Models for Pattern Recognition by Jia ZengType-2 Fuzzy Graphical Models for Pattern Recognition by Jia Zeng

Type-2 Fuzzy Graphical Models for Pattern Recognition

byJia Zeng, Zhi-Qiang Liu

Hardcover | September 29, 2014

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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.

Prof. Jia ZENG is currently working at the School of Computer Science and Technology, Soochow University, Suzhou 215006, China. Before that, he was a Visiting Research Scholar with the Department of Computer Science, Hong Kong Baptist University from 2009 to 2010 and a Research Fellow in the Department of Electronic Engineering, City U...
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Title:Type-2 Fuzzy Graphical Models for Pattern RecognitionFormat:HardcoverDimensions:201 pagesPublished:September 29, 2014Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3662446898

ISBN - 13:9783662446898

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Table of Contents

Introduction.- Type-2 Fuzzy Sets for Pattern Recognition.- Type-2 Fuzzy Gaussian Mixture Models.- Probabilistic Graphical Models.- Type-2 Fuzzy Markov Random Fields.- Type-2 Fuzzy Topic Models.- Conclusions and Future Work.