Stock photo: cover may vary
Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4–7, 2022, Proceedings, Part II (Lecture Notes in Computer Science, 13535) Papeback -
by Shiqi Yu (Editor); Zhaoxiang Zhang (Editor); Pong C. Yuen (Editor)
- New
A$149.95
A$5.72
Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Standard delivery: 9 to 14 days
Ships from Cold Books (New York, United States)
Details
- Title Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4–7, 2022, Proceedings, Part II (Lecture Notes in Computer Science, 13535)
- Author Shiqi Yu (Editor); Zhaoxiang Zhang (Editor); Pong C. Yuen (Editor)
- Binding Papeback
- Condition New
- Pages 723
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # 6396373481
- ISBN 9783031189098 / 3031189094
- Weight 2.26 lbs (1.03 kg)
- Dimensions 9.21 x 6.14 x 1.48 in (23.39 x 15.60 x 3.76 cm)
- Category Computers - General Information
- Quantity available 4
About Cold Books New York, United States
Reader reviews for Pattern Recognition and Computer Vision: 5th Chinese Conference, PRCV 2022, Shenzhen, China, November 4–7, 2022, Proceedings, Part II (Lecture Notes in Computer Science, 13535)
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
