We revisit one of the most fundamental problems in multimedia that is receiving enormous attention from researchers without making much progress in solving it: the problem of brid...
—In this paper we present a design methodology for the identification and development of a suitable hardware platform (including dedicated hardware accelerators) for the data pl...
Sebastian Hessel, David Szczesny, Shadi Traboulsi,...
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Extract Method has been recognized as one of the most important refactorings, since it decomposes large methods and can be used in combination with other refactorings for fixing a...
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...