Type-2 Fuzzy Graphical Models for Pattern Recognition - Zhi-Qiang Liu,Jia Zeng
-25% su kodu BOOKS
Pristatymas per 17-23 d.d.
30 dienų grąžinimo politika
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 ... Visas aprašymas
Jums taip pat gali patikti
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.
Daugiau informacijos
| Autorius | Zhi-Qiang Liu, Jia Zeng |
|---|---|
| Leidėjas | Springer Berlin Heidelberg |
| Series | Studies in Computational Intelligence |
| Išleidimo metai | 2014 |
| Viršelio tipas | Kieti viršeliai |
| EAN | 9783662446898 |