Type-2 Fuzzy Graphical Models for Pattern Recognition

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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Zeng, Jia (Author), Liu, Zhi-Qiang (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edition:1st ed. 2015.
Series:Studies in Computational Intelligence, 591
Subjects:
Computational intelligence.
Artificial intelligence.
Pattern recognition systems.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Automated Pattern Recognition.
Signal, Speech and Image Processing .
Online Access:Texto Completo
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.

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