Algorithms for Sparsity-Constrained Optimization
Description
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.
Keywords
Technology & EngineeringElectronicsMathematicsComputersSoftware Development & EngineeringComputer GraphicsImaging SystemsElectricalOptical Data Processing
2013Book
Author(s)Sohail Bahmani
PublisherSpringer International Publishing
ISBN9783319018805
LanguageEnglish
