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.
Autorius: | Zhi-Qiang Liu, Jia Zeng, |
Serija: | Studies in Computational Intelligence |
Leidėjas: | Springer Berlin Heidelberg |
Išleidimo metai: | 2016 |
Knygos puslapių skaičius: | 220 |
ISBN-10: | 3662515229 |
ISBN-13: | 9783662515228 |
Formatas: | Knyga minkštu viršeliu |
Kalba: | Anglų |
Žanras: | Pattern recognition |
Parašykite atsiliepimą apie „Type-2 Fuzzy Graphical Models for Pattern Recognition“