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114
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CORR
2007
Springer
183views Education» more  CORR 2007»
15 years 24 days ago
Compressed Sensing and Redundant Dictionaries
This article extends the concept of compressed sensing to signals that are not sparse in an orthonormal basis but rather in a redundant dictionary. It is shown that a matrix, whic...
Holger Rauhut, Karin Schnass, Pierre Vandergheynst
92
Voted
IJRR
2006
96views more  IJRR 2006»
15 years 24 days ago
Unmanned Ground Vehicle Navigation Using Aerial Ladar Data
In this paper, we investigate the use of overhead high-resolution three-dimensional (3-D) data for enhancing the performances of an Unmanned Ground Vehicle (UGV) in vegetated terra...
Nicolas Vandapel, Raghavendra Donamukkala, Martial...
115
Voted
JGO
2008
75views more  JGO 2008»
15 years 24 days ago
On the second conjugate of several convex functions in general normed vector spaces
When dealing with convex functions defined on a normed vector space X the biconjugate is usually considered with respect to the dual system (X, X ), that is, as a function defined...
Constantin Zalinescu
116
Voted
CORR
2007
Springer
136views Education» more  CORR 2007»
15 years 24 days ago
Sparsity in time-frequency representations
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
Götz E. Pfander, Holger Rauhut
107
Voted
JMLR
2008
79views more  JMLR 2008»
15 years 24 days ago
Manifold Learning: The Price of Normalization
We analyze the performance of a class of manifold-learning algorithms that find their output by minimizing a quadratic form under some normalization constraints. This class consis...
Yair Goldberg, Alon Zakai, Dan Kushnir, Yaacov Rit...