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CORR
2010
Springer
167views Education» more  CORR 2010»
14 years 10 months ago
Compressive Sensing over Graphs
In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...
Weiyu Xu, Enrique Mallada, Ao Tang
82
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CORR
2010
Springer
97views Education» more  CORR 2010»
14 years 10 months ago
On the Scaling Law for Compressive Sensing and its Applications
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...
Weiyu Xu, Ao Tang
119
Voted
CORR
2010
Springer
237views Education» more  CORR 2010»
14 years 10 months ago
Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
Srimal Jayawardena, Marcus Hutter, Nathan Brewer
111
Voted
CORR
2010
Springer
178views Education» more  CORR 2010»
14 years 10 months ago
Is Light-Tree Structure Optimal for Multicast Routing in Sparse Light Splitting WDM Networks?
To minimize the number of wavelengths required by a multicast session in sparse light splitting Wavelength Division Multiplexing (WDM) networks, a light-hierarchy structure, which ...
Fen Zhou, Miklós Molnár, Bernard Cou...
99
Voted
CORR
2010
Springer
136views Education» more  CORR 2010»
14 years 10 months ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler
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