國立虎尾科技大學 |

Type-2 Fuzzy Graphical Models for Pattern Recognition

紀錄類型:	書目-語言資料,印刷品 : 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.
面頁冊數:	XIII, 201 p. 112 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-662-44690-4
ISBN:	9783662446904

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. - 1st ed. 2015. - XIII, 201 p. 112 illus.online resource. - Studies in Computational Intelligence,5911860-949X ;. - Studies in Computational Intelligence,564.

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

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

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Type-2 Fuzzy Graphical Models for Pattern Recognition
LDR:02504nam a22004095i 4500 001 960119
003 DE-He213
005 20200701150848.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783662446904 $9 978-3-662-44690-4
024 7 $a 10.1007/978-3-662-44690-4 $2 doi
035 $a 978-3-662-44690-4
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Zeng, Jia. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1062818
245 1 0 $a Type-2 Fuzzy Graphical Models for Pattern Recognition $h [electronic resource] / $c by Jia Zeng, Zhi-Qiang Liu.
250 $a 1st ed. 2015.
264 1 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a XIII, 201 p. 112 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-949X ; $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 Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Pattern recognition. $3 1253525
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Pattern Recognition. $3 669796
650 2 4 $a Signal, Image and Speech Processing. $3 670837
700 1 $a Liu, Zhi-Qiang. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1062819
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783662446911
776 0 8 $i Printed edition: $z 9783662446898
776 0 8 $i Printed edition: $z 9783662515228
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-662-44690-4
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)