136 search results - page 4 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
134
Voted
CAIP
2005
Springer
15 years 7 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...
132
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CSDA
2010
15 years 1 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...
98
Voted
ICIP
2006
IEEE
16 years 3 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...
100
Voted
ICDCS
2007
IEEE
15 years 8 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...
107
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CVPR
2003
IEEE
16 years 3 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...