AHA-BUCH

Type-2 Fuzzy Graphical Models for Pattern Recognition

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ISBN-13:
9783662446898
Einband:
Book
Erscheinungsdatum:
01.11.2014
Seiten:
201
Autor:
Jia Zeng
Gewicht:
474 g
Format:
244x159x2 mm
Serie:
666, Studies in Computational Intelligence
Sprache:
Englisch
Beschreibung:

Focuses on type-2 fuzzy systems for pattern recognition problems
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.
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.