TY  - BOOK
AU  - Zeng,Jia
AU  - Liu,Zhi-Qiang
ED  - SpringerLink (Online service)
TI  - Type-2 Fuzzy Graphical Models for Pattern Recognition
T2  - Studies in Computational Intelligence,
SN  - 9783662446904
AV  - Q342 
U1  - 006.3 23
PY  - 2015///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - engineering
KW  - Artificial intelligence
KW  - Pattern Recognition
KW  - Computational Intelligence
KW  - Engineering
KW  - Artificial Intelligence (incl. Robotics)
KW  - Signal, Image and Speech Processing
N1  - Introduction -- Probabilistic Graphical Models -- Type-2 Fuzzy Sets for Pattern Recognition -- Type-2 Fuzzy Gaussian Mixture Models -- Type-2 Fuzzy Hidden Moarkov Models -- Type-2 Fuzzy Markov Random Fields -- Type-2 Fuzzy Topic Models -- Conclusions and FutureWork
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-662-44690-4
ER  -