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» Algorithms for Non-negative Matrix Factorization
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CORR
2011
Springer
157views Education» more  CORR 2011»
13 years 2 months ago
Fast and Faster: A Comparison of Two Streamed Matrix Decomposition Algorithms
With the explosion of the size of digital dataset, the limiting factor for decomposition algorithms is the number of passes over the input, as the input is often stored out-of-cor...
Radim Rehurek
CORR
2010
Springer
61views Education» more  CORR 2010»
13 years 7 months ago
A weakly stable algorithm for general Toeplitz systems
We show that a fast algorithm for the QR factorization of a Toeplitz or Hankel matrix A is weakly stable in the sense that RT R is close to AT A. Thus, when the algorithm is used ...
Adam W. Bojanczyk, Richard P. Brent, Frank R. de H...
CVPR
2005
IEEE
14 years 9 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
EUROPAR
2005
Springer
14 years 1 months ago
A Paradigm for Parallel Matrix Algorithms:
A style for programming problems from matrix algebra is developed with a familiar example and new tools, yielding high performance with a couple of surprising exceptions. The under...
David S. Wise, Craig Citro, Joshua Hursey, Fang Li...
ISSAC
2004
Springer
102views Mathematics» more  ISSAC 2004»
14 years 1 months ago
FFPACK: finite field linear algebra package
The FFLAS project has established that exact matrix multiplication over finite fields can be performed at the speed of the highly optimized numerical BLAS routines. Since many a...
Jean-Guillaume Dumas, Pascal Giorgi, Clémen...