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WSC
2007
15 years 8 months ago
Kernel estimation for quantile sensitivities
Quantiles, also known as value-at-risk in financial applications, are important measures of random performance. Quantile sensitivities provide information on how changes in the i...
Guangwu Liu, L. Jeff Hong
JMIV
2002
72views more  JMIV 2002»
15 years 6 months ago
Estimating Overcomplete Independent Component Bases for Image Windows
Estimating overcomplete ICA bases for image windows is a difficult problem. Most algorithms require the estimation of values of the independent components which leads to computatio...
Aapo Hyvärinen, Mika Inki
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 6 months ago
Very sparse random projections
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
Ping Li, Trevor Hastie, Kenneth Ward Church
ICCV
2009
IEEE
16 years 11 months ago
Segmentation and Shading Estimation in Slowly Changing Textured Images
We present a novel representation for modeling textured regions subject to smooth variations in orientation and scale. Utilizing the steerable pyramid of Simoncelli and Freeman ...
Jason Chang, John W. Fisher III
ICML
2005
IEEE
16 years 7 months ago
Intrinsic dimensionality estimation of submanifolds in Rd
We present a new method to estimate the intrinsic dimensionality of a submanifold M in Rd from random samples. The method is based on the convergence rates of a certain U-statisti...
Matthias Hein, Jean-Yves Audibert