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CORR
2007
Springer
183views Education» more  CORR 2007»
13 years 7 months 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
CORR
2007
Springer
93views Education» more  CORR 2007»
13 years 7 months ago
Intrinsic dimension of a dataset: what properties does one expect?
— We propose an axiomatic approach to the concept of an intrinsic dimension of a dataset, based on a viewpoint of geometry of high-dimensional structures. Our first axiom postul...
Vladimir Pestov
JMLR
2006
150views more  JMLR 2006»
13 years 7 months ago
Building Support Vector Machines with Reduced Classifier Complexity
Support vector machines (SVMs), though accurate, are not preferred in applications requiring great classification speed, due to the number of support vectors being large. To overc...
S. Sathiya Keerthi, Olivier Chapelle, Dennis DeCos...
AMC
2005
168views more  AMC 2005»
13 years 7 months ago
Comparison between the homotopy analysis method and homotopy perturbation method
In this paper, we show that the so-called ``homotopy perturbation method'' is only a special case of the homotopy analysis method. Both methods are in principle based on...
Shijun Liao
TSP
2008
124views more  TSP 2008»
13 years 7 months ago
Dictionary Preconditioning for Greedy Algorithms
This article introduces the concept of sensing dictionaries. It presents an alteration of greedy algorithms like thresholding or (Orthogonal) Matching Pursuit which improves their...
Karin Schnass, Pierre Vandergheynst