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CORR
2010
Springer
90views Education» more  CORR 2010»
14 years 10 months ago
New Criteria for Iterative Decoding
Iterative decoding was not originally introduced as the solution to an optimization problem rendering the analysis of its convergence very difficult. In this paper, we investigate...
Florence Alberge, Ziad Naja, Pierre Duhamel
CORR
2010
Springer
200views Education» more  CORR 2010»
14 years 10 months ago
A Multilevel Approach For Nonnegative Matrix Factorization
Nonnegative Matrix Factorization (NMF) is the problem of approximating a nonnegative matrix with the product of two low-rank nonnegative matrices and has been shown to be particul...
Nicolas Gillis, François Glineur
CORR
2008
Springer
118views Education» more  CORR 2008»
14 years 10 months ago
Learning Low-Density Separators
Abstract. We define a novel, basic, unsupervised learning problem learning the the lowest density homogeneous hyperplane separator of an unknown probability distribution. This task...
Shai Ben-David, Tyler Lu, Dávid Pál,...
CSDA
2010
132views more  CSDA 2010»
14 years 10 months ago
Approximate low-rank factorization with structured factors
An approximate rank revealing factorization problem with structure constraints on the normalized factors is considered. Examples of structure, motivated by an application in micro...
Ivan Markovsky, Mahesan Niranjan
CORR
2007
Springer
59views Education» more  CORR 2007»
14 years 10 months ago
On the use of self-organizing maps to accelerate vector quantization
Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantiÿed (or classiÿed) either on the same location or on nei...
Eric de Bodt, Marie Cottrell, Patrick Letré...