719 search results - page 9 / 144 » Solving Sparse Linear Constraints |
PARA
2004
Springer
15 years 3 months ago
2004
Springer
Large and sparse rational eigenproblems where the rational term is of low rank k arise in vibrations of fluid–solid structures and of plates with elastically attached loads. Exp...
113
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CORR
2010
Springer
14 years 8 months ago
2010
Springer
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
79
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CAV
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. We propose a novel, sound, and complete Simplex-based algorithm for solving linear inequalities over integers. Our algorithm, which can be viewed as a semantic generaliza...
JMLR
2012
13 years 19 days ago
2012
We develop scalable algorithms for regular and non-negative matrix completion. In particular, we base the methods on trace-norm regularization that induces a low rank predicted ma...
100
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ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...