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WWW
2011
ACM
13 years 5 days ago
2011
ACM
There is a widespread intuitive sense that different kinds of information spread differently on-line, but it has been difficult to evaluate this question quantitatively since it ...
TCAD
2010
12 years 12 months ago
2010
Abstract--This paper presents a GALS-compatible circuitswitched on-chip network that is well suited for use in many-core platforms targeting streaming DSP and embedded applications...
TSP
2010
12 years 12 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
SIAMJO
2011
12 years 8 months ago
2011
Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-ran...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...