1299 search results - page 23 / 260 » Quantizing Density Estimators |
CIKM
2006
Springer
13 years 11 months ago
2006
Springer
A fundamental building block of many data mining and analysis approaches is density estimation as it provides a comprehensive statistical model of a data distribution. For that re...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
NIPS
2008
13 years 9 months ago
2008
This paper describes a recursive estimation procedure for multivariate binary densities using orthogonal expansions. For d covariates, there are 2d basis coefficients to estimate,...
ICARCV
2002
IEEE
14 years 17 days ago
2002
IEEE
In computer vision tasks, it frequently happens that gross noise occupies the absolute majority of the data. Most robust estimators can tolerate no more than 50% gross errors. In ...