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SIAMCO
2008
98views more  SIAMCO 2008»
13 years 4 months ago
Kernel Density Estimation and Goodness-of-Fit Test in Adaptive Tracking
We investigate the asymptotic properties of a recursive kernel density estimator associated with the driven noise of a linear regression in adaptive tracking. We provide an almost ...
Bernard Bercu, Bruno Portier
HUMO
2007
Springer
13 years 11 months ago
Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking
In this paper, we suggest to model priors on human motion by means of nonparametric kernel densities. Kernel densities avoid assumptions on the shape of the underlying distribution...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
CDC
2008
IEEE
106views Control Systems» more  CDC 2008»
13 years 11 months ago
Kernel density estimation in adaptive tracking
Bernard Bercu, Bruno Portier
NIPS
2007
13 years 6 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
DATE
2008
IEEE
226views Hardware» more  DATE 2008»
13 years 11 months ago
A General Method to Evaluate RF BIST Techniques Based on Non-parametric Density Estimation
Abstract— We present a general method to evaluate RF BuiltIn Self-Test (BIST) techniques during the design stage. In particular, the adaptive kernel estimator is used to construc...
Haralampos-G. D. Stratigopoulos, Jeanne Tongbong, ...