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» On Unbiased Linear Approximations
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MOC
2010
15 years 1 months ago
On the convergence of Hill's method
Hill's method is a means to numerically approximate spectra of linear differential operators with periodic coefficients. In this paper, we address different issues related to...
Christopher W. Curtis, Bernard Deconinck
184
Voted
CORR
2011
Springer
157views Education» more  CORR 2011»
14 years 10 months ago
Large-Scale Convex Minimization with a Low-Rank Constraint
We address the problem of minimizing a convex function over the space of large matrices with low rank. While this optimization problem is hard in general, we propose an efficient...
Shai Shalev-Shwartz, Alon Gonen, Ohad Shamir
CISS
2010
IEEE
14 years 10 months ago
Turbo reconstruction of structured sparse signals
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
Philip Schniter
182
Voted
ECCV
1996
Springer
16 years 8 months ago
Euclidean Reconstruction: From Paraperspective to Perspective
In this paper we describe a method to perform Euclidean reconstruction with a perspective camera model. It incrementally performs reconstruction with a paraperspective camera in or...
Stéphane Christy, Radu Horaud
STOC
2007
ACM
106views Algorithms» more  STOC 2007»
16 years 7 months ago
One sketch for all: fast algorithms for compressed sensing
Compressed Sensing is a new paradigm for acquiring the compressible signals that arise in many applications. These signals can be approximated using an amount of information much ...
Anna C. Gilbert, Martin J. Strauss, Joel A. Tropp,...