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Distributed compressive sensing is a framework considering jointly sparsity within signal ensembles along with multiple measurement vectors (MMVs). The current theoretical bound of performance for MMVs, however, is derived to be the same with that for single MV (SMV) because the characteristics of signal ensembles are ignored. In this work, we introduce a new factor called "Euclidean distances...
In this work, we present Interaction+, a tool that enhances the interactive capability of existing web-based visualizations. Different from the toolkits for authoring interactions during the visualization construction, Interaction+ takes existing visualizations as input, analyzes the visual objects, and provides users with a suite of interactions to facilitate the visual exploration, including selection,...
In this paper, we analyze both BMH algorithm and QS algorithm, focus on the improvement of QS, and present FQS algorithm which can apply to HTTP data reduction. For building this algorithm, we considered character features of pattern strings in HTTP application data, improved the collating sequence of characters in matching process, and had the bad characters jumping strategy improved for increasing...
Crawling deep web is the process of collecting data from search interfaces by issuing queries. With wide availability of programmable interface encoded in Web services, deep web crawling has received a large variety of applications. One of the major challenges crawling deep web is the selection of the queries so that most of the data can be retrieved at a low cost. We propose a general method in this...
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