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» Algorithms for Non-negative Matrix Factorization
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ISAAC
2005
Springer
78views Algorithms» more  ISAAC 2005»
15 years 4 months ago
The Phase Matrix
Reducing the error of quantum algorithms is often achieved by applying a primitive called amplitude amplification. Its use leads in many instances to quantum algorithms that are q...
Peter Høyer
APPML
2007
165views more  APPML 2007»
14 years 11 months ago
On the Iwasawa decomposition of a symplectic matrix
We consider the computation of the Iwasawa decomposition of a symplectic matrix via the QR factorization. The algorithms presented improve on the method recently decribed in [8]. K...
Michele Benzi, Nader Razouk
ICFCA
2009
Springer
15 years 6 months ago
Factor Analysis of Incidence Data via Novel Decomposition of Matrices
Matrix decomposition methods provide representations of an object-variable data matrix by a product of two different matrices, one describing relationship between objects and hidd...
Radim Belohlávek, Vilém Vychodil
SIBGRAPI
2005
IEEE
15 years 4 months ago
True Factor Analysis in Medical Imaging: Dealing with High-Dimensional Spaces
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Alexei Manso Correa Machado
SIAMMAX
2010
98views more  SIAMMAX 2010»
14 years 6 months ago
Improved Balanced Incomplete Factorization
In this paper we improve the BIF algorithm which computes simultaneously the LU factors (direct factors) of a given matrix, and their inverses (inverse factors). This algorithm was...
Rafael Bru, José Marín, José ...