Abstract:Two new strategies are developed in this thesis to increase the speed of the state-ofthe-art Maximum Feasible Subsystem (MAX FS) algorithms. The newly developed strategies can be combined with any MAX FS algorithm to increase its speed while preserving or improving solution quality. The improved algorithms apply in the case of dense constraint matrices such as those found when various data compression/dimensionality reduction, classification, and sparse recovery problems are converted to MAX FS problems. This … Show more
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