136 search results - page 4 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
CAIP
2005
Springer
15 years 3 months ago
2005
Springer
Non-parametric data representation can be done by means of a potential function. This paper introduces a methodology for finding modes of the potential function. Two different me...
CSDA
2010
14 years 9 months ago
2010
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
ICIP
2006
IEEE
15 years 11 months ago
2006
IEEE
We propose a simple nonparametric linear regression tool, known as kernel regression (KR), to estimate the illumination chromaticity. We design a Gaussian kernel whose bandwidth i...
ICDCS
2007
IEEE
15 years 3 months ago
2007
IEEE
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...