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» Approximation Stability and Boosting
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JSCIC
2007
132views more  JSCIC 2007»
13 years 7 months ago
Minimal Stabilization for Discontinuous Galerkin Finite Element Methods for Hyperbolic Problems
We consider a discontinuous Galerkin finite element method for the advection–reaction equation in two space–dimensions. For polynomial approximation spaces of degree greater t...
E. Burman, B. Stamm
TSP
2008
69views more  TSP 2008»
13 years 7 months ago
Stochastic Stability Analysis for the Constant-Modulus Algorithm
We derive an easy-to-compute approximate bound for the range of step-sizes for which the constant-modulus algorithm (CMA) will remain stable if initialized close to a minimum of t...
Victor H. Nascimento, M. T. M. Silva
CVPR
2005
IEEE
14 years 9 months ago
Boosting Saliency in Color Image Features
The aim of salient point detection is to find distinctive events in images. Salient features are generally determined from the local differential structure of images. They focus o...
Joost van de Weijer, Theo Gevers
ICPR
2008
IEEE
14 years 2 months ago
Boosting Gaussian mixture models via discriminant analysis
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
Hao Tang, Thomas S. Huang
CORR
2002
Springer
79views Education» more  CORR 2002»
13 years 7 months ago
Technical Note: Bias and the Quantification of Stability
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...
Peter D. Turney