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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zeng, Jia (Autor), Liu, Zhi-Qiang (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Studies in Computational Intelligence, 591
Temas:
Computational intelligence.
Artificial intelligence.
Pattern recognition systems.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Automated Pattern Recognition.
Signal, Speech and Image Processing .
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares