Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...
Addressing the challenges of extreme scale computing requires holistic design of new programming models and systems that support those models. This paper discusses the Angstrom pr...
Henry Hoffmann, Jim Holt, George Kurian, Eric Lau,...
"Bison is a general-purpose parser generator that converts an annotated context-free grammar
into an LALR(1) or GLR parser for that grammar. Once you are proficient with Biso...
Recently four non-iterative algorithms for simultaneous low rank approximations of matrices (SLRAM) have been presented by several researchers. In this paper, we show that those a...
Scaling attacks are well-known to be some of the most harmful strategies against quantization-based watermarking methods, as they can completely ruin the performance of the waterm...