國立高雄大學圖資館 |

登入

回首頁

Deep generative modelssecond MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep generative modelsedited by Anirban Mukhopadhyay ... [et al.].
其他題名:	second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
其他題名:	DGM4MICCAI 2022
其他作者:	Mukhopadhyay, Anirban.
團體作者:
出版者:	Cham :Springer Nature Switzerland :2022.
面頁冊數:	x, 127 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Deep learning (Machine learning)
電子資源:	https://doi.org/10.1007/978-3-031-18576-2
ISBN:	9783031185762$q(electronic bk.)

Deep generative modelssecond MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
Deep generative modelssecond MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /[electronic resource] :DGM4MICCAI 2022edited by Anirban Mukhopadhyay ... [et al.]. - Cham :Springer Nature Switzerland :2022. - x, 127 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,136090302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore. DG4MICCAI 2022 accepted 12 papers from the 15 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.

ISBN: 9783031185762$q(electronic bk.)

Standard No.: 10.1007/978-3-031-18576-2doiSubjects--Topical Terms:

913129
Deep learning (Machine learning)

LC Class. No.: Q325.73 / .M53 2022

Dewey Class. No.: 006.31

Deep generative modelssecond MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings /
LDR:01891nmm a2200349 a 4500 001 631199
003 DE-He213
005 20221007151456.0
006 m d
007 cr nn 008maaau
008 230411s2022 sz s 0 eng d
020 $a 9783031185762$q(electronic bk.)
020 $a 9783031185755$q(paper)
024 7 $a 10.1007/978-3-031-18576-2 $2 doi
035 $a 978-3-031-18576-2
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.73 $b .M53 2022
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.73 $b .M619 2022
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Deep generative models $h [electronic resource] : $b second MICCAI Workshop, DGM4MICCAI 2022, held in conjunction with MICCAI 2022, Singapore, September 22, 2022 : proceedings / $c edited by Anirban Mukhopadhyay ... [et al.].
246 3 $a DGM4MICCAI 2022
246 3 $a MICCAI 2022
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2022.
300 $a x, 127 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 13609
520 $a This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore. DG4MICCAI 2022 accepted 12 papers from the 15 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.
650 0 $a Deep learning (Machine learning) $3 913129
650 0 $a Computer vision $3 253837
650 1 4 $a Computer Vision. $3 913138
650 2 4 $a Machine Learning. $3 833608
650 2 4 $a Computers and Education. $3 274532
650 2 4 $a Computer and Information Systems Applications. $3 913125
700 1 $a Mukhopadhyay, Anirban. $3 524340
710 2 $a SpringerLink (Online service) $3 273601
711 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u https://doi.org/10.1007/978-3-031-18576-2
950 $a Computer Science (SpringerNature-11645)