Type-2 Fuzzy Graphical Models for Pattern Recognition - Zhi-Qiang Liu,Jia Zeng
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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 pri ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Zhi-Qiang Liu, Jia Zeng |
|---|---|
| Izdevējs | Springer Berlin Heidelberg |
| Series | Studies in Computational Intelligence |
| Izlaides gads | 2014 |
| Vāka tips | Cietais vāks |
| EAN | 9783662446898 |