Type-2 Fuzzy Graphical Models for Pattern Recognition

• Main Authors: Zeng, Jia (Author), Liu, Zhi-Qiang (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Series: Studies in Computational Intelligence, 591
• Subjects: Engineering.; Artificial intelligence.; Pattern recognition.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Pattern Recognition.; Signal, Image and Speech Processing.

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 a...

Table of 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.