Type-2 Fuzzy Graphical Models for Pattern Recognition
tarafından
 
Zeng, Jia. author.

Başlık
Type-2 Fuzzy Graphical Models for Pattern Recognition

Yazar
Zeng, Jia. author.

ISBN
9783662446904

Yazar
Zeng, Jia. author.

Fiziksel Niteleme
XIII, 201 p. 112 illus. online resource.

Seri
Studies in Computational Intelligence, 591

İçindekiler
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.

Özet
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.

Konu Başlığı
Engineering.
 
Artificial intelligence.
 
Pattern recognition.
 
Computational intelligence.
 
Artificial Intelligence (incl. Robotics).
 
Signal, Image and Speech Processing.

Yazar Ek Girişi
Liu, Zhi-Qiang.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
http://dx.doi.org/10.1007/978-3-662-44690-4


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book24540-1001Q342Springer E-Book Collection