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This paper designs and evaluates a variant of CoSaMP algorithm, for recovering the sparse signal s from the compressive measurement () v Uw s  given a fixed low-rank subspace spanned by U. Instead of firstly recovering the full vector then separating the sparse part from the structured dense part, the proposed algorithm directly works on the compressive(More)
In this paper, we present a distributed computing framework for image classification towards the current challenge of image big data due to enormous streaming image data sources, such as image sharing over online social network and massive video surveillance streams from ubiquitous cameras all over our daily life. The proposed framework consists of four(More)
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