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JMLR
2010
108views more  JMLR 2010»
13 years 5 months ago
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
Taiji Suzuki, Masashi Sugiyama
MOC
2000
67views more  MOC 2000»
13 years 10 months ago
A posteriori error estimates for upwind finite volume schemes for nonlinear conservation laws in multi dimensions
In this paper we shall derive a posteriori error estimates in the L1-norm for upwind finite volume schemes for the discretization of nonlinear conservation laws on unstructured gri...
Dietmar Kröner, Mario Ohlberger
SAC
2005
ACM
14 years 4 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
SIAMCO
2010
114views more  SIAMCO 2010»
13 years 5 months ago
Discrete Carleman Estimates for Elliptic Operators in Arbitrary Dimension and Applications
In arbitrary dimension, we consider the semi-discrete elliptic operator -2 t + AM , where AM is a finite difference approximation of the operator - x((x) x). For this operator we d...
Franck Boyer, Florence Hubert, Jérôme...
ICC
2009
IEEE
123views Communications» more  ICC 2009»
14 years 5 months ago
Blind Spectrum Sensing for Cognitive Radio Based on Signal Space Dimension Estimation
Abstract—Based on information theoretic tools, a new spectrum sensing method is proposed in this paper to detect vacant sub-bands in the radio spectrum1 . Specifically, based on...
Bassem Zayen, Aawatif Hayar, Kimmo Kansanen