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.
| ISBN: | 9783662515228 |
| Publication date: | 10th September 2016 |
| Author: | Jia Zeng, ZhiQiang Liu |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 201 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Artificial intelligence Pattern recognition Digital signal processing (DSP) Electronics engineering |
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.
Type-2 Fuzzy Graphical Models for Pattern Recognition features in the following genres: Artificial intelligence, Pattern recognition, Digital signal processing (DSP), Electronics engineering
Type-2 Fuzzy Graphical Models for Pattern Recognition is available in Paperback
Type-2 Fuzzy Graphical Models for Pattern Recognition was written by Jia Zeng, ZhiQiang Liu and published by Springer an imprint of Springer Berlin Heidelberg
Type-2 Fuzzy Graphical Models for Pattern Recognition has 201 pages
Yes it is part of Studies in Computational Intelligence series