136 search results - page 1 / 28 » Bayesian Estimation of Kernel Bandwidth for Nonparametric Mo... |
ICANN
2009
Springer
13 years 9 months ago
2009
Springer
Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for findin...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
CSDA
2007
13 years 4 months ago
2007
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
ACIVS
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
CSDA
2004
13 years 4 months ago
2004
In geographical epidemiology it is often required to produce a map of the risk of disease over a study region, a disease map. This paper reviews a variety of approaches to produce...