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Advanced Methods and Deep Learning in Computer Vision - (Computer Vision and Pattern Recognition) by  E R Davies & Matthew Turk (Paperback) - 1 of 1

Advanced Methods and Deep Learning in Computer Vision - (Computer Vision and Pattern Recognition) by E R Davies & Matthew Turk (Paperback)

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Highlights

  • 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.
  • Author(s): E R Davies & Matthew Turk
  • 582 Pages
  • Computers + Internet, Artificial Intelligence
  • Series Name: Computer Vision and Pattern Recognition

Description



Book Synopsis



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.

Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x 1.18 Inches (D)
Weight: 2.18 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 582
Genre: Computers + Internet
Sub-Genre: Artificial Intelligence
Series Title: Computer Vision and Pattern Recognition
Publisher: Academic Press
Format: Paperback
Author: E R Davies & Matthew Turk
Language: English
Street Date: November 12, 2021
TCIN: 1011878772
UPC: 9780128221099
Item Number (DPCI): 247-37-9262
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 1.18 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 2.18 pounds
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