We propose Satisfiability Checking (SAT) techniques that lead to a consistent performance improvement of up to 3x over state-ofthe-art SAT solvers like Chaff on important problem ...
Malay K. Ganai, Pranav Ashar, Aarti Gupta, Lintao ...
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Abstract. The estimation of the epipolar geometry is especially difficult where the putative correspondences include a low percentage of inlier correspondences and/or a large subse...
re a popular form of abstract computation. Being more general than monads, they are more broadly applicable, and in parare a good abstraction for signal processing and dataflow co...
Recent advances in computing have led to an explosion in the amount of data being generated. Processing the ever-growing data in a timely manner has made throughput computing an i...
Victor W. Lee, Changkyu Kim, Jatin Chhugani, Micha...