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ISSAC
2007
Springer
83views Mathematics» more  ISSAC 2007»
16 years 11 days ago
Parallel computation of the rank of large sparse matrices from algebraic K-theory
This paper deals with the computation of the rank and some integer Smith forms of a series of sparse matrices arising in algebraic K-theory. The number of non zero entries in the ...
Jean-Guillaume Dumas, Philippe Elbaz-Vincent, Pasc...
SDM
2010
SIAM
153views Data Mining» more  SDM 2010»
15 years 7 months ago
Reconstruction from Randomized Graph via Low Rank Approximation
The privacy concerns associated with data analysis over social networks have spurred recent research on privacypreserving social network analysis, particularly on privacypreservin...
Leting Wu, Xiaowei Ying, Xintao Wu
CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 6 months ago
Grothendieck inequalities for semidefinite programs with rank constraint
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of mathematics and computer science. They can be interpreted as upper bounds for the ...
Jop Briët, Fernando Mário de Oliveira ...
CVPR
2011
IEEE
15 years 2 months ago
Non-Rigid Structure from Motion with Complementary Rank-3 Spaces
Non-rigid structure from motion (NR-SFM) is a difficult, underconstrained problem in computer vision. This paper proposes a new algorithm that revises the standard matrix factori...
Paulo Gotardo, Aleix Martinez
ICASSP
2011
IEEE
14 years 10 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo