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Type-2 Fuzzy Graphical Models for Pattern Recognition

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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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Detail Information

Series Title

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Call Number

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Publisher

Tsinghua University Press, Bei : Springer Berlin, Heidelberg., 2015

Collation

Jointly published with Tsinghua University Press, Beijing, China

Language

English

ISBN/ISSN

978-3-662-44690-4

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Automated Pattern Recognition
Artificial Intelligence
Signal
Speech and Image Processing
Computational Intelligence

Specific Detail Info

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Statement of Responsibility

Jia Zeng, Zhi-Qiang Liu

Other Information

Cataloger

Yudi

Source

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Validator

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