1299 search results - page 12 / 260 » Quantizing Density Estimators |
ML
2007
ACM
14 years 9 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
15 years 3 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
15 years 3 months 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
14 years 1 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
14 years 9 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. ...