
Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1
Description
Key Features
- Presents a contemporary view on the topic, comprehensively covering the newest developments and content
- Provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms
Readership
Research scientists and graduate students specialising in mathematics, as well as engineers with a basic knowledge in partial differential equations and their numerical approximations.
Table of Contents
Section One
1. Compressed Learning for Image Classification: A Deep Neural Network Approach
E. Zisselman, A. Adler and M. EladSection Two
2. Exploiting the Structure Effectively and Efficiently in Low Rank Matrix Recovery
Jian-Feng Cai and Ke WeiSection Three
3. Partial Single- and Multi-Shape Dense Correspondence Using Functional Maps
Alex Bronstein
4. Shape Correspondence and Functional Maps
Maks Ovsjanikov
5. Factoring Scene Layout From Monocular Images in Presence of Occlusion
Niloy J. Mitra
Product details
- No. of pages: 157
- Language: English
- Copyright: © North Holland 2018
- Published: November 8, 2018
- Imprint: North Holland
- eBook ISBN: 9780444642066
- Hardcover ISBN: 9780444642059
About the Serial Volume Editors
Ron Kimmel
Affiliations and Expertise
Xue-Cheng Tai
Affiliations and Expertise
Ratings and Reviews
There are currently no reviews for "Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1"