000 | 03464cam a22005658i 4500 | ||
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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 |
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020 |
_a9781351003827 _q(ebook) |
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020 |
_a1351003828 _q(ebook) |
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020 |
_a9781351003810 _q(electronic bk. : PDF) |
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020 |
_a135100381X _q(electronic bk. : PDF) |
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020 |
_a9781351003803 _q(electronic bk. : EPUB) |
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020 |
_a1351003801 _q(electronic bk. : EPUB) |
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020 |
_a9781351003797 _q(electronic bk. : Mobipocket) |
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020 |
_a1351003798 _q(electronic bk. : Mobipocket) |
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020 |
_z9781138544420 _q(hardback ; _qacid-free paper) |
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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 |
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072 | 7 |
_aTJFM _2bicssc |
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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 |
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337 |
_acomputer _bn _2rdamedia |
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338 |
_aonline resource _bnc _2rdacarrier |
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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 |
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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 |