Type-2 fuzzy graphical models for pattern recognition /

Saved in:
Bibliographic Details
Author / Creator:Zeng, Jia, author.
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
Hidden Bibliographic Details
Other authors / contributors:Liu, Z.-Q. (Zhi-Qiang), 1950- author.
ISBN:9783662446904
3662446901
9783662446898
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed October 2, 2014).
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.
Standard no.:10.1007/978-3-662-44690-4