Algorithms for Sparsity-Constrained Optimization |
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Author:
| Bahmani, Sohail |
Series title: | Springer Theses Ser. |
ISBN: | 978-3-319-01880-5 |
Publication Date: | Oct 2013 |
Publisher: | Springer International Publishing AG
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Imprint: | Springer |
Book Format: | Hardback |
List Price: | USD $169.99 |
Book Description:
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This thesis presents a wholly new technique in the structural analysis of data that uses a 'greedy' algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly problematic areas of machine learning and signal processing.
This thesis presents a wholly new technique in the structural analysis of data that uses a 'greedy' algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly problematic areas of machine learning and signal processing.