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SIAMMAX
2010
97views more  SIAMMAX 2010»
13 years 3 months ago
Krylov Subspace Methods for Linear Systems with Tensor Product Structure
The numerical solution of linear systems with certain tensor product structures is considered. Such structures arise, for example, from the finite element discretization of a line...
Daniel Kressner, Christine Tobler
ICIP
2005
IEEE
14 years 10 months ago
Comparative study: face recognition on unspecific persons using linear subspace methods
Recently many Automatic Face Recognition (AFR) systems were developed for applications with unspecific persons, which is different from conventional pattern recognition problems wh...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
IJON
2006
169views more  IJON 2006»
13 years 8 months ago
Denoising using local projective subspace methods
In this paper we present denoising algorithms for enhancing noisy signals based on Local ICA (LICA), Delayed AMUSE (dAMUSE) and Kernel PCA (KPCA). The algorithm LICA relies on app...
Peter Gruber, Kurt Stadlthanner, Matthias Böh...
IPSN
2007
Springer
14 years 2 months ago
Robust system multiangulation using subspace methods
Sensor location information is a prerequisite to the utility of most sensor networks. In this paper we present a robust and low-complexity algorithm to self-localize and orient se...
Joshua N. Ash, Lee C. Potter
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 8 months ago
MINRES-QLP: a Krylov subspace method for indefinite or singular symmetric systems
Abstract. CG, SYMMLQ, and MINRES are Krylov subspace methods for solving large symmetric systems of linear equations. CG (the conjugate-gradient method) is reliable on positive-def...
Sou-Cheng T. Choi, Christopher C. Paige, Michael A...