000 02520cam a2200289 i 4500
005 20250421080607.0
008 250219s2020 flua b 001 0 eng
020 _a9781138544420 (hardback ; acidfree paper)
020 _z9781351003827 (ebook)
037 _bSBF2024
040 _aDLC
_beng
_erda
_cDLC
_dDLC
_dAE-ShU
_cUKB
050 0 0 _aTA1634
_b.D437 2020
245 0 0 _aDeep learning in computer vision :
_bprinciples and applications /
_cedited by M. Hassaballah and Ali Ismail Awad.
250 _aFirst edition.
260 _aBoca Raton :
_bCRC Press/Taylor and Francis,
_c[2020]
300 _axvi, 322 pages :
_billustrations ;
_c24 cm.
490 0 _aDigital imaging and computer vision
504 _aIncludes bibliographical references and index.
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.
650 0 _aComputer vision.
650 0 _aMachine learning.
650 0 _aDeep learning (Machine learning)
700 1 _aHassaballah, Mahmoud,
_eeditor.
700 1 _aAwad, Ali Ismail,
_eeditor.
776 0 8 _iOnline version:
_tDeep learning in computer vision
_bFirst edition.
_dBoca Raton, FL : CRC Press/Taylor and Francis, 2020.
_z9781351003827
_w(DLC) 2019057833
942 _cBKS
999 _c19334
_d19334