000			03464cam a22005658i 4500
001			9781351003827
003			FlBoTFG
005			20220711212224.0
006			m d | |
007			cr |||||||||||
008			191212s2020 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781351003827 _q(ebook)
020			_a1351003828 _q(ebook)
020			_a9781351003810 _q(electronic bk. : PDF)
020			_a135100381X _q(electronic bk. : PDF)
020			_a9781351003803 _q(electronic bk. : EPUB)
020			_a1351003801 _q(electronic bk. : EPUB)
020			_a9781351003797 _q(electronic bk. : Mobipocket)
020			_a1351003798 _q(electronic bk. : Mobipocket)
020			_z9781138544420 _q(hardback ; _qacid-free paper)
035			_a(OCoLC)1140352588
035			_a(OCoLC-P)1140352588
050	0	0	_aTA1634
072		7	_aCOM _x037000 _2bisacsh
072		7	_aMAT _x004000 _2bisacsh
072		7	_aTEC _x007000 _2bisacsh
072		7	_aTJFM _2bicssc
082	0	0	_a006.3/7 _223
245	0	0	_aDeep learning in computer vision : _bprinciples and applications / _cedited by M. Hassaballah and Ali Ismail Awad.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press/Taylor and Francis, _c2020.
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
490	1		_aDigital imaging and computer vision
520			_a"Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aComputer vision. _914464
650		0	_aMachine learning. _91831
650		7	_aCOMPUTERS / Machine Theory _2bisacsh _914465
650		7	_aMATHEMATICS / Arithmetic _2bisacsh _910958
650		7	_aTECHNOLOGY / Electricity _2bisacsh _914466
700	1		_aHassaballah, Mahmoud, _eeditor. _914467
700	1		_aAwad, Ali Ismail, _eeditor. _914468
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781351003827
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c70714 _d70714