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Probability and Statistics for Computer Science, by David Forsyth
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About the Author
David Alexander ​Forsyth is Fulton Watson Copp Chair in Computer Science at the University of Illinois at Urbana-Champaign, where he is a leading researcher in computer vision. Professor Forsyth has regularly served as a program or general chair for the top conferences in computer vision, and has just finished a second term as Editor-in-Chief for IEEE Transactions on Pattern Analysis and Machine Intelligence. A Fellow of the ACM (2014) and IEEE (2009), Forsyth has also been recognized with the IEEE Computer Society’s Technical Achievement Award (2005), the Marr Prize, and a prize for best paper in cognitive computer vision (ECCV 2002).  Many of his former students are famous in their own right as academics or industry leaders.He is the co-author with Jean Ponce of Computer Vision: A Modern Approach (2002; 2011), published in four languages, and a leading textbook on the topic.Among a variety of odd hobbies, he is a compulsive diver, certified up to normoxic trimix level.
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Product details
Hardcover: 367 pages
Publisher: Springer; 1st ed. 2018 edition (December 17, 2017)
Language: English
ISBN-10: 3319644092
ISBN-13: 978-3319644097
Product Dimensions:
8.2 x 1 x 11 inches
Shipping Weight: 2.8 pounds (View shipping rates and policies)
Average Customer Review:
3.0 out of 5 stars
1 customer review
Amazon Best Sellers Rank:
#1,225,238 in Books (See Top 100 in Books)
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