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166
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CVPR
2011
IEEE
14 years 12 months ago
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few basis elements, is widely used in machine learning and image processing. The basis set, also called dictiona...
Louise Benoit, Julien Mairal, Francis Bach, Jean P...
150
Voted
CORR
2011
Springer
148views Education» more  CORR 2011»
14 years 10 months ago
How well can we estimate a sparse vector?
The estimation of a sparse vector in the linear model is a fundamental problem in signal processing, statistics, and compressive sensing. This paper establishes a lower bound on t...
Emmanuel J. Candès, Mark A. Davenport
122
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ICASSP
2011
IEEE
14 years 7 months ago
Adjugate pairs of sparse arrays for sampling two dimensional signals
Sparse sampling with coprime lattice arrays was introduced recently in the literature. It has been shown that a dense coarray can be constructed from such a pair of arrays, and is...
Palghat P. Vaidyanathan, Piya Pal
95
Voted
GLOBECOM
2006
IEEE
15 years 9 months ago
Content Delivery in Overlay Networks: a Stochastic Graph Processes Perspective
— We consider the problem of distributing a content of finite size to a group of users connected through an overlay network that is built by a peer-to-peer application. The goal...
Damiano Carra, Renato Lo Cigno, Ernst W. Biersack
138
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Adaptive scalable layer filtering process for video scheduling over wireless networks based on MAC buffer management
In this paper, the problem of scalable video delivery over a timevarying wireless channel is considered. Packet scheduling and buffer management in both Application and Medium Acc...
Nesrine Changuel, Nicholas Mastronarde, Mihaela va...