Dictionary Learning Algorithms and Applications
This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD,...
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
| Edition: | 1st ed. 2018. |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Chapter1: Sparse representations
- Chapter2: Dictionary learning problem
- Chapter3: Standard algorithms
- Chapter4: Regularization and incoherence
- Chapter5: Other views on the DL problem
- Chapter6: Optimizing dictionary size
- Chapter7: Structured dictionaries
- Chapter8: Classification
- Chapter9: Kernel dictionary learning
- Chapter10: Cosparse representations.