Type-2 Fuzzy Graphical Models for Pattern Recognition (Studies in Computational Intelligence #590)
by Jia Zeng and Zhi-Qiang Liu
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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.
Details
- Publisher
- Springer Berlin Heidelberg
- Authors
- Jia Zeng, Zhi-Qiang Liu
- Format
- Paperback
- Published
- Sep 10, 2016
- ISBN-13
- 9783662515228
- Pages
- 201
- Printing
- Printed on demand
Type-2 Fuzzy Graphical Models for Pattern Recognition (Studies in Computational Intelligence #590) for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $48.39 | 12% off list |
| 50 – 99 | $47.84 | 13% off list |
| 100+ | $47.29 | 14% off list |
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Type-2 Fuzzy Graphical Models for Pattern Recognition (Studies in Computational Intelligence #590)
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