1299 search results - page 17 / 260 » Quantizing Density Estimators |
ICDCS
2007
IEEE
15 years 4 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...
CSDA
2008
14 years 9 months ago
2008
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
105
click to vote
COLT
2010
Springer
14 years 7 months ago
2010
Springer
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
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...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
We propose a model for the density of cross-spectral coefficients using Normal Variance Mean Mixtures. We show that this model density generalizes the corresponding marginal dens...