This paper proposes a rapid and accurate evaluation scheme for cycle counts of a pipelined processor using evaluation reuse technique. Since exploration of an optimal processor is...
Recently, sparse coding has been receiving much attention in object and scene recognition tasks because of its superiority in learning an effective codebook over k-means clusterin...
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
Query localization is an improved extension of on-demand routing protocols for ad hoc networks. It makes use of prior routing histories to localize the query flood to a limited re...
While extensive work has been done on evaluating queries over tuple-independent probabilistic databases, query evaluation over correlated data has received much less attention eve...