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CORR
2008
Springer
119views Education» more  CORR 2008»
14 years 11 months ago
Learning Low Rank Matrices from O(n) Entries
How many random entries of an n
Raghunandan H. Keshavan, Andrea Montanari, Sewoong...
92
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IPPS
2010
IEEE
14 years 9 months ago
A PRAM-NUMA model of computation for addressing low-TLP workloads
It is possible to implement the parallel random access machine (PRAM) on a chip multiprocessor (CMP) efficiently with an emulated shared memory (ESM) architecture to gain easy par...
Martti Forsell
JMLR
2012
13 years 2 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
CVPR
2011
IEEE
14 years 7 months ago
Noise Suppression in Low-Light Images through Joint Denoising and Demosaicing
We address the effects of noise in low-light images in this paper. Color images are usually captured by a sensor with a color filter array (CFA). This requires a demosaicing proc...
Priyam Chatterjee, Neel Joshi, Sing Bing Kang, Yas...
CORR
2010
Springer
94views Education» more  CORR 2010»
14 years 9 months ago
The Stability of Low-Rank Matrix Reconstruction: a Constrained Singular Value View
The stability of low-rank matrix reconstruction is investigated in this paper. The -constrained minimal singular value ( -CMSV) of the measurement operator is shown to determine t...
Gongguo Tang, Arye Nehorai