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STOC
2003
ACM
188views Algorithms» more  STOC 2003»
14 years 8 months ago
Almost random graphs with simple hash functions
We describe a simple randomized construction for generating pairs of hash functions h1, h2 from a universe U to ranges V = [m] = {0, 1, . . . , m - 1} and W = [m] so that for ever...
Martin Dietzfelbinger, Philipp Woelfel
GPCE
2007
Springer
14 years 2 months ago
Open multi-methods for c++
Multiple dispatch – the selection of a function to be invoked based on the dynamic type of two or more arguments – is a solution to several classical problems in object-orient...
Peter Pirkelbauer, Yuriy Solodkyy, Bjarne Stroustr...
CORR
2012
Springer
232views Education» more  CORR 2012»
12 years 4 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
JUCS
2008
200views more  JUCS 2008»
13 years 8 months ago
Tabu Search on GPU
: Nowadays Personal Computers (PCs) are often equipped with powerful, multi-core CPU. However, the processing power of the modern PC does not depend only of the processing power of...
Adam Janiak, Wladyslaw A. Janiak, Maciej Lichtenst...
CVPR
2008
IEEE
14 years 10 months ago
Reduce, reuse & recycle: Efficiently solving multi-label MRFs
In this paper, we present novel techniques that improve the computational and memory efficiency of algorithms for solving multi-label energy functions arising from discrete MRFs o...
Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr