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» A Fast Random Sampling Algorithm for Sparsifying Matrices
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ICIP
2009
IEEE
13 years 5 months ago
Randomness-in-Structured Ensembles for compressed sensing of images
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
Abdolreza A. Moghadam, Hayder Radha
AUTOMATICA
2002
93views more  AUTOMATICA 2002»
13 years 7 months ago
A probabilistic framework for problems with real structured uncertainty in systems and control
The objective of this paper is twofold. First, the problem of generation of real random matrix samples with uniform distribution in structured (spectral) norm bounded sets is stud...
Giuseppe Carlo Calafiore, Fabrizio Dabbene
WWW
2004
ACM
14 years 8 months ago
The effect of the back button in a random walk: application for pagerank
Theoretical analysis of the Web graph is often used to improve the efficiency of search engines. The PageRank algorithm, proposed by [5], is used by the Google search engine [4] t...
Fabien Mathieu, Mohamed Bouklit
STOC
2009
ACM
271views Algorithms» more  STOC 2009»
14 years 8 months ago
A fast and efficient algorithm for low-rank approximation of a matrix
The low-rank matrix approximation problem involves finding of a rank k version of a m ? n matrix AAA, labeled AAAk, such that AAAk is as "close" as possible to the best ...
Nam H. Nguyen, Thong T. Do, Trac D. Tran
BMCBI
2008
136views more  BMCBI 2008»
13 years 7 months ago
LOMA: A fast method to generate efficient tagged-random primers despite amplification bias of random PCR on pathogens
Background: Pathogen detection using DNA microarrays has the potential to become a fast and comprehensive diagnostics tool. However, since pathogen detection chips currently utili...
Wah-Heng Lee, Christopher W. Wong, Wan Yee Leong, ...