World Scientific Publishing Company
Sparse Coding and Its Applications in Computer Vision
Product Code:
9789814725040
ISBN13:
9789814725040
Condition:
New
$109.88
This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks such as super-resolution and de-blurring to high-level semantic understanding tasks such as image recognition, clustering and fusion.The book is suitable to be used as an introductory overview to this field, with its theoretical part being both easy and precious enough for quick understanding. It is also of great value to experienced researchers as it offers new perspective to the underlying mechanism of sparse coding, and points out potential future directions for different applications.
| Author: Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Thomas S. Huang, Ding Liu |
| Publisher: World Scientific Publishing Company |
| Publication Date: Dec 14, 2015 |
| Number of Pages: 228 pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 9814725048 |
| ISBN-13: 9789814725040 |
Sparse Coding and Its Applications in Computer Vision
$109.88
This book provides a broader introduction to the theories and applications of sparse coding techniques in computer vision research. It introduces sparse coding in the context of representation learning, illustrates the fundamental concepts, and summarizes the most active research directions. A variety of applications of sparse coding are discussed, ranging from low-level image processing tasks such as super-resolution and de-blurring to high-level semantic understanding tasks such as image recognition, clustering and fusion.The book is suitable to be used as an introductory overview to this field, with its theoretical part being both easy and precious enough for quick understanding. It is also of great value to experienced researchers as it offers new perspective to the underlying mechanism of sparse coding, and points out potential future directions for different applications.
| Author: Zhaowen Wang, Jianchao Yang, Haichao Zhang, Zhangyang Wang, Yingzhen Yang, Thomas S. Huang, Ding Liu |
| Publisher: World Scientific Publishing Company |
| Publication Date: Dec 14, 2015 |
| Number of Pages: 228 pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 9814725048 |
| ISBN-13: 9789814725040 |
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