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» On Wiedemann's Method of Solving Sparse Linear Systems
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SIAMJO
2008
136views more  SIAMJO 2008»
13 years 8 months ago
Relaxed Alternating Projection Methods
Let A and B be nonempty, convex and closed subsets of a Hilbert space H. In the practical considerations we need to find an element of the intersection A B or, more general, to s...
Andrzej Cegielski, Agnieszka Suchocka
CORR
2004
Springer
152views Education» more  CORR 2004»
13 years 8 months ago
Non-negative matrix factorization with sparseness constraints
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been a...
Patrik O. Hoyer
PC
2002
158views Management» more  PC 2002»
13 years 8 months ago
On parallel block algorithms for exact triangularizations
We present a new parallel algorithm to compute an exact triangularization of large square or rectangular and dense or sparse matrices in any field. Using fast matrix multiplicatio...
Jean-Guillaume Dumas, Jean-Louis Roch
ISSAC
2005
Springer
125views Mathematics» more  ISSAC 2005»
14 years 2 months ago
Generalized normal forms and polynomial system solving
This paper describes a new method for computing the normal form of a polynomial modulo a zero-dimensional ideal I. We give a detailed description of the algorithm, a proof of its ...
Bernard Mourrain
ACL
1994
13 years 10 months ago
Precise N-Gram Probabilities from Stochastic Context-Free Grammars
We present an algorithm for computing n-gram probabilities from stochastic context-free grammars, a procedure that can alleviate some of the standard problems associated with n-gr...
Andreas Stolcke, Jonathan Segal