國立高雄大學圖資館 |

Language: English

Back

Advanced methods and deep learning in computer vision

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced methods and deep learning in computer visionedited by E.R. Davies, Matthew A. Turk.
other author:	Davies, E. R.
Published:	London, United Kingdom ;Elsevier Academic Press,2022.
Description:	1 online resource (xix, 562 p.) :ill. (black and white, and col.)
Subject:	Computer vision.
Online resource:	https://www.sciencedirect.com/science/book/9780128221099
ISBN:	9780128221495$q(ebook)

Advanced methods and deep learning in computer vision
Advanced methods and deep learning in computer vision[electronic resource] /edited by E.R. Davies, Matthew A. Turk. - London, United Kingdom ;Elsevier Academic Press,2022. - 1 online resource (xix, 562 p.) :ill. (black and white, and col.) - Computer vision and pattern recognition.

Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.

ISBN: 9780128221495$q(ebook)Subjects--Topical Terms:

200113
Computer vision.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: TA1634 / .A38 2022eb

Dewey Class. No.: 006.37

Advanced methods and deep learning in computer vision
LDR:01978nmm a2200265 a 4500 001 681290
006 m o d
007 cr nn |||muauu
008 251121s2022 enka o 000 0 eng d
020 $a 9780128221495$q(ebook)
020 $a 0128221496$q(ebook)
020 $z 9780128221099$q(paperback)
020 $z 0128221097$q(paperback)
035 $a (OCoLC)1285254318
035 $a on1285254318
040 $a YDX $b eng $e pn $c YDX $d N $d UKAHL $d OCLCF $d OPELS $d YDX $d OCLCO $d UKMGB $d OCLCQ $d OCLCO $d OCLCQ $d OCLCO $d ORMDA $d SFB $d OCLCQ $d OCLCL
041 0 $a eng
050 4 $a TA1634 $b .A38 2022eb
082 0 4 $a 006.37 $2 23
245 0 0 $a Advanced methods and deep learning in computer vision $h [electronic resource] / $c edited by E.R. Davies, Matthew A. Turk.
260 $a London, United Kingdom ; $a San Diego, CA : $b Elsevier Academic Press, $c 2022.
300 $a 1 online resource (xix, 562 p.) : $b ill. (black and white, and col.)
490 0 $a Computer vision and pattern recognition
520 $a Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.
650 0 $a Computer vision. $3 200113
650 0 $a Pattern recognition systems. $3 183725
650 0 $a Machine learning. $3 188639
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Davies, E. R. $q (E. Roy) $3 439762
700 1 $a Turk, Matthew A. $3 994407
776 0 8 $i Print version: $z 0128221097 $z 9780128221099 $w (OCoLC)1241442227
856 4 0 $u https://www.sciencedirect.com/science/book/9780128221099