東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Pattern recognition systems- Mathematical models." ]

切換: 標籤 | MARC模式 | ISBD

Type-2 fuzzy graphical models for pa...

Zeng, Jia.

FindBook

Google Book

Amazon

博客來

Type-2 fuzzy graphical models for pattern recognition

紀錄類型:	書目-電子資源 : Monograph/item
正題名/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.
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.
Contained By:	Springer eBooks
標題:	Pattern recognition systems. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-44690-4
ISBN:	9783662446904 (electronic bk.)

Type-2 fuzzy graphical models for pattern recognition
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:

527885
Pattern recognition systems.

LC Class. No.: TK7882.P3

Dewey Class. No.: 006.4

Type-2 fuzzy graphical models for pattern recognition
LDR:02126nmm a2200325 a 4500 001 1994282
003 DE-He213
005 20150603162133.0
006 m d
007 cr nn 008maaau
008 151019s2015 gw s 0 eng d
020 $a 9783662446904 (electronic bk.)
020 $a 9783662446898 (paper)
024 7 $a 10.1007/978-3-662-44690-4 $2 doi
035 $a 978-3-662-44690-4
040 $a GP $c GP
041 0 $a eng
050 4 $a TK7882.P3
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.4 $2 23
090 $a TK7882.P3 $b Z54 2015
100 1 $a Zeng, Jia. $3 2133012
245 1 0 $a Type-2 fuzzy graphical models for pattern recognition $h [electronic resource] / $c by Jia Zeng, Zhi-Qiang Liu.
260 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a xiii, 201 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.591
505 0 $a 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.
520 $a 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.
650 0 $a Pattern recognition systems. $3 527885
650 0 $a Pattern recognition systems $x Mathematical models. $3 935045
650 0 $a Fuzzy graphs. $3 724493
650 1 4 $a Engineering. $3 586835
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Signal, Image and Speech Processing. $3 891073
700 1 $a Liu, Zhi-Qiang. $3 2133013
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Studies in computational intelligence ; $v v.379. $3 1565969
856 4 0 $u http://dx.doi.org/10.1007/978-3-662-44690-4
950 $a Engineering (Springer-11647)