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TIT
1998
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13 years 4 months ago
On the Consistency of Minimum Complexity Nonparametric Estimation
— Nonparametric estimation is usually inconsistent without some form of regularization. One way to impose regularity is through a prior measure. Barron and Cover [1], [2] have sh...
Zhiyi Chi, Stuart Geman
NIPS
2007
13 years 6 months ago
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
We develop and analyze an algorithm for nonparametric estimation of divergence functionals and the density ratio of two probability distributions. Our method is based on a variati...
XuanLong Nguyen, Martin J. Wainwright, Michael I. ...
ECCV
2002
Springer
14 years 6 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer