1299 search results - page 12 / 260 » Quantizing Density Estimators |
ML
2007
ACM
13 years 7 months ago
2007
ACM
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
ICA
2007
Springer
14 years 1 months ago
2007
Springer
We extend the Gaussian scale mixture model of dependent subspace source densities to include non-radially symmetric densities using Generalized Gaussian random variables linked by ...
IDEAL
2004
Springer
14 years 28 days ago
2004
Springer
Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
TIP
2008
13 years 7 months ago
2008
Density estimation for observational data plays an integral role in a broad spectrum of applications, e.g. statistical data analysis and information-theoretic image registration. ...