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
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
---|
Electronic Book | 24540-1001 | Q342 | Springer E-Book Collection |