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Advanced methods and deep learning in computer vision

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Advanced methods and deep learning in computer vision/ edited 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

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: 9780128221495Subjects--Topical Terms:

561800
Computer vision.
Index Terms--Genre/Form:

554714
Electronic books.

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

Dewey Class. No.: 006.37

Advanced methods and deep learning in computer vision
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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 561800
650 0 $a Pattern recognition systems. $3 557384
650 0 $a Machine learning. $3 561253
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Davies, E. R. $q (E. Roy) $3 880003
700 1 $a Turk, Matthew A. $3 1498988
856 4 0 $u https://www.sciencedirect.com/science/book/9780128221099