Alessandro Tiberi

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Finding near(est) neighbors is a classic, difficult problem in data management and retrieval, with applications in text and image search,in finding similar objects and matching patterns. Here we study <i>cluster pruning</i>, an extremely simple randomized technique. During preprocessing we randomly choose a subset of data points to be <i>leaders</i> the(More)
We investigate synchronized hyperedge replacement (SHR) as general framework for distributed programming and system design. We propose a slender version of SHR which dramaticaly reduces the mathematical overhead of the original proposal [5] and use it to interpret the distributed CCS [7] and the calculus of Mobile Ambients [1] in a uniform semantic(More)
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