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» Betweenness Centrality : Algorithms and Lower Bounds
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TIP
1998
128views more  TIP 1998»
13 years 7 months ago
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
FOCS
2008
IEEE
14 years 2 months ago
Near-Optimal Sparse Recovery in the L1 Norm
Abstract— We consider the approximate sparse recovery problem, where the goal is to (approximately) recover a highdimensional vector x ∈ Rn from its lower-dimensional sketch Ax...
Piotr Indyk, Milan Ruzic
ECCV
2008
Springer
14 years 9 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
SIGSOFT
2004
ACM
14 years 8 months ago
Merging partial behavioural models
Constructing comprehensive operational models of intended system behaviour is a complex and costly task. Consequently, practitioners have adopted techniques that support increment...
Marsha Chechik, Sebastián Uchitel
PODS
2008
ACM
128views Database» more  PODS 2008»
14 years 7 months ago
Shape sensitive geometric monitoring
A fundamental problem in distributed computation is the distributed evaluation of functions. The goal is to determine the value of a function over a set of distributed inputs, in ...
Izchak Sharfman, Assaf Schuster, Daniel Keren