Algorithms for Sparsity-Constrained Opti
โ Sohail Bahmani
๐ Library
๐
2014
๐ Imprint; Springer; Springer International Publishi
๐ English
โฆ LIBER โฆ
๐
Algorithms for Sparsity-Constrained Optimization
โ Scribed by Sohail Bahmani (auth.)
- Publisher
- Springer International Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 124
- Series
- Springer Theses 261
- Edition
- 1
- Category
- Library
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โฆ Synopsis
This thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use of previous models.
โฆ Table of Contents
Front Matter....Pages i-xxi
Introduction....Pages 1-3
Preliminaries....Pages 5-10
Sparsity-Constrained Optimization....Pages 11-35
1-Bit Compressed Sensing....Pages 37-49
Estimation Under Model-Based Sparsity....Pages 51-60
Projected Gradient Descent for โ p -Constrained Least Squares....Pages 61-69
Conclusion and Future Work....Pages 71-72
Back Matter....Pages 73-107
โฆ Subjects
Signal, Image and Speech Processing; Mathematical Applications in Computer Science; Image Processing and Computer Vision
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