Type-2 Fuzzy Graphical Models for Pattern Recognition
Zeng, Jia.
Type-2 Fuzzy Graphical Models for Pattern Recognition by Jia Zeng, Zhi-Qiang Liu. - 1 recurso en línea (XIII, 201 páginas 112 ilustraciones) - Studies in Computational Intelligence, 591 1860-949X ; Engineering (Springer-11647) .
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.
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.
9783662446904
10.1007/978-3-662-44690-4 doi
Reconocimiento de formas
TK7882.P3 / Z464 2015 EB
Type-2 Fuzzy Graphical Models for Pattern Recognition by Jia Zeng, Zhi-Qiang Liu. - 1 recurso en línea (XIII, 201 páginas 112 ilustraciones) - Studies in Computational Intelligence, 591 1860-949X ; Engineering (Springer-11647) .
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.
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.
9783662446904
10.1007/978-3-662-44690-4 doi
Reconocimiento de formas
TK7882.P3 / Z464 2015 EB