Type-2 fuzzy graphical models for pattern recognition /
Author / Creator: | Zeng, Jia, author. |
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Imprint: | Heidelberg : Springer, [2014] ©2015 |
Description: | 1 online resource (xiii, 201 pages) : illustrations. |
Language: | English |
Series: | Studies in Computational Intelligence, 1860-949X ; volume 666 Studies in computational intelligence ; v. 666. |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11088129 |
Summary: | 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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Physical Description: | 1 online resource (xiii, 201 pages) : illustrations. |
Bibliography: | Includes bibliographical references. |
ISBN: | 9783662446904 3662446901 9783662446898 |
ISSN: | 1860-949X ; |