Cargando…

Advanced methods and deep learning in computer vision /

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 covere...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom ; San Diego, CA : Elsevier Academic Press, [2022]
Colección:Computer vision and pattern recognition
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000 i 4500
001 SCIDIR_on1285254318
003 OCoLC
005 20231120010615.0
006 m o d
007 cr cnu---unuuu
008 211114s2022 enk o 000 0 eng d
040 |a YDX  |b eng  |e rda  |e pn  |c YDX  |d N$T  |d UKAHL  |d OCLCF  |d OPELS  |d YDX  |d OCLCO  |d UKMGB  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO 
015 |a GBC213331  |2 bnb 
016 7 |a 020434715  |2 Uk 
019 |a 1285161723  |a 1285238706  |a 1285273125 
020 |a 9780128221495  |q (electronic book) 
020 |a 0128221496  |q (electronic book) 
020 |a 9780128221099  |q (electronic book) 
020 |a 0128221097  |q (electronic book) 
035 |a (OCoLC)1285254318  |z (OCoLC)1285161723  |z (OCoLC)1285238706  |z (OCoLC)1285273125 
050 4 |a TA1634  |b .A38 2022 
072 7 |a TEC  |x 004000  |2 bisacsh 
072 7 |a TEC  |x 037000  |2 bisacsh 
072 7 |a UYQV  |2 bicssc 
082 0 4 |a 006.37  |2 23 
245 0 0 |a Advanced methods and deep learning in computer vision /  |c edited by E.R. Davies, Matthew A. Turk. 
264 1 |a London, United Kingdom ;  |a San Diego, CA :  |b Elsevier Academic Press,  |c [2022] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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. 
650 0 |a Pattern recognition systems. 
650 0 |a Machine learning. 
650 6 |a Vision par ordinateur.  |0 (CaQQLa)201-0074889 
650 6 |a Reconnaissance des formes (Informatique)  |0 (CaQQLa)201-0028094 
650 6 |a Apprentissage automatique.  |0 (CaQQLa)201-0131435 
650 7 |a Computer vision  |2 fast  |0 (OCoLC)fst00872687 
650 7 |a Machine learning  |2 fast  |0 (OCoLC)fst01004795 
650 7 |a Pattern recognition systems  |2 fast  |0 (OCoLC)fst01055266 
776 0 8 |i Print version:  |z 0128221097  |z 9780128221099  |w (OCoLC)1241442227 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780128221099  |z Texto completo