Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, ... Vision, Pattern Recognition, and Graphics)
ISBN-13:
9783319977843
ISBN-10:
3319977849
Edition:
1st ed. 2018
Author:
Richard C. Wilson, Antonio Robles-Kelly, Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Battista Biggio
Publication date:
2018
Publisher:
Springer
Format:
Paperback
537 pages
FREE US shipping
Book details
ISBN-13:
9783319977843
ISBN-10:
3319977849
Edition:
1st ed. 2018
Author:
Richard C. Wilson, Antonio Robles-Kelly, Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Battista Biggio
Publication date:
2018
Publisher:
Springer
Format:
Paperback
537 pages
Summary
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, ... Vision, Pattern Recognition, and Graphics) (ISBN-13: 9783319977843 and ISBN-10: 3319977849), written by authors
Richard C. Wilson, Antonio Robles-Kelly, Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Battista Biggio, was published by Springer in 2018.
With an overall rating of 3.5 stars, it's a notable title among other
AI & Machine Learning
(Data Modeling & Design, Databases & Big Data, Data Processing, Graphics & Design, Algorithms, Programming, Graphics & Multimedia, Computer Science) books. You can easily purchase or rent Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, ... Vision, Pattern Recognition, and Graphics) (Paperback) from BooksRun,
along with many other new and used
AI & Machine Learning
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $0.3.
Description
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018.The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}