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Foundations of Computer Vision (Adap..., Isola, Phillip
US $107.99
ApproximatelyS$ 138.55
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Free USPS Media MailTM.
Located in: Montgomery Illinois, United States
Delivery:
Estimated between Tue, 19 Aug and Fri, 22 Aug
Returns:
30 days return. Seller pays for return shipping.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:316518853361
Item specifics
- Condition
- Book Title
- Foundations of Computer Vision (Adaptive Computation and Machi...
- ISBN
- 0262048973
- EAN
- 9780262048972
- Release Title
- Foundations of Computer Vision (Adaptive Computation and Machi...
- Artist
- Isola, Phillip
- Brand
- N/A
- Colour
- N/A
About this product
Product Identifiers
Publisher
MIT Press
ISBN-10
0262048973
ISBN-13
9780262048972
eBay Product ID (ePID)
12060716261
Product Key Features
Number of Pages
840 Pages
Publication Name
Foundations of Computer Vision
Language
English
Subject
Engineering (General), Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Publication Year
2024
Type
Textbook
Subject Area
Computers, Technology & Engineering
Series
Adaptive Computation and Machine Learning Ser.
Format
Hardcover
Dimensions
Item Height
1.4 in
Item Weight
52.4 Oz
Item Length
9.3 in
Item Width
8.3 in
Additional Product Features
Intended Audience
Trade
LCCN
2023-024588
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.37
Synopsis
Foundations of Computer Vision comprehensively introduces the foundations of the field while incorporating the latest deep learning advances, it takes a holistic approach that goes beyond machine learning and addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Written by leaders in the field and honed by a decade of classroom experience, this authoritative and highly teachable book offers an essential next-generation view of computer vision. Integrates classic computer vision and deep learning, Emphasizes fundamentals and assumes little background knowledge, Includes coverage of transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process, Features extensive examples and instructor resources, An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision. Up-to-date treatment integrates classic computer vision and deep learning Accessible approach emphasizes fundamentals and assumes little background knowledge Student-friendly presentation features extensive examples and images Proven in the classroom Instructor resources include slides, solutions, and source code
LC Classification Number
TA1634.T66 2024
Item description from the seller
Seller feedback (273,369)
- y***l (2705)- Feedback left by buyer.Past monthVerified purchaseSmooth transaction thanks
- t***r (657)- Feedback left by buyer.Past monthVerified purchasePleased with purchase!
- o***h (0)- Feedback left by buyer.Past monthVerified purchaseThis was supposed to be a signed first edition. There is NO SIGNATURE!
Seller feedback (273,369)
- y***l (2705)- Feedback left by buyer.Past monthVerified purchaseSmooth transaction thanks
- t***r (657)- Feedback left by buyer.Past monthVerified purchasePleased with purchase!
- o***h (0)- Feedback left by buyer.Past monthVerified purchaseThis was supposed to be a signed first edition. There is NO SIGNATURE!