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