Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition)
Language: English
Published by Academic Press, 2021
- Softcover
- New

Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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In English.
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- Title
- Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition)
- Publisher
- Academic Press
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0128221097
- ISBN 13
- 9780128221099
- Item weight
- 1,146 grams
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.
- Provides an important reference on deep learning and advanced computer methods that was created by leaders in the field
- Illustrates principles with modern, real-world applications
- Suitable for self-learning or as a text for graduate courses
"Synopsis" may belong to another edition of this title.
About the Author
Matthew Turk is a professor and department chair of the Department of Computer Science at the University of California, Santa Barbara, California. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2013[1] for his contributions to computer vision and perceptual interfaces. Starting on July 1st, he will be the president of the Toyota Technological Institute at Chicago[2]. In 2014, Turk was named a Fellow of the International Association for Pattern Recognition (IAPR)[3] for his contributions to computer vision and vision based interaction.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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