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Type-2 Fuzzy Graphical Models for Pattern Recognition

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Type-2 Fuzzy Graphical Models for Pattern Recognition Synopsis

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.

About This Edition

ISBN: 9783662446898
Publication date: 29th September 2014
Author: Jia Zeng, ZQ Liu
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Hardback
Pagination: 201 pages
Series: Studies in Computational Intelligence
Genres: Artificial intelligence
Pattern recognition
Digital signal processing (DSP)
Electronics engineering