Algorithms for Sparsity-Constrained Optimization

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 o...

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Main Author: Bahmani, Sohail.
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language: English
Published: Cham : Springer International Publishing : 2014.
Series: Springer Theses, Recognizing Outstanding Ph.D. Research, 261
Subjects:
Online Access: http://dx.doi.org/10.1007/978-3-319-01881-2
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