大葉大學圖書館 |

Type-2 fuzzy graphical models for pattern recognition[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.4
書名/作者:	Type-2 fuzzy graphical models for pattern recognition/ by Jia Zeng, Zhi-Qiang Liu.
作者:	Zeng, Jia.
其他作者:	Liu, Zhi-Qiang.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2015.
面頁冊數:	xiii, 201 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Pattern recognition systems.
標題:	Pattern recognition systems - Mathematical models.
標題:	Fuzzy graphs.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Pattern Recognition.
標題:	Signal, Image and Speech Processing.
ISBN:	9783662446904 (electronic bk.)
ISBN:	9783662446898 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-662-44690-4

Type-2 fuzzy graphical models for pattern recognition[electronic resource] /
Zeng, Jia.

Type-2 fuzzy graphical models for pattern recognition[electronic resource] /by Jia Zeng, Zhi-Qiang Liu. - Berlin, Heidelberg :Springer Berlin Heidelberg :2015. - xiii, 201 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.5911860-949X ;. - Studies in computational intelligence ;v.379..

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.

ISBN: 9783662446904 (electronic bk.)

Standard No.: 10.1007/978-3-662-44690-4doiSubjects--Topical Terms:

189561
Pattern recognition systems.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Type-2 fuzzy graphical models for pattern recognition[electronic resource] /
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