Full Description
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.
Contents
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.
