Type-2 Fuzzy Graphical Models for Pattern Recognition

• Κύριοι συγγραφείς: Zeng, Jia (Συγγραφέας), Liu, Zhi-Qiang (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
• Σειρά: Studies in Computational Intelligence, 591
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.