327 search results - page 14 / 66 » Density Estimation by Mixture Models with Smoothing Priors |
IDEAL
2004
Springer
14 years 2 months ago
2004
Springer
A Gaussian mixture model (GMM) estimates a probability density function using the expectation-maximization algorithm. However, it may lead to a poor performance or inconsistency. T...
PAMI
2006
13 years 8 months ago
2006
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
A framework for the regularized estimation of nonuniform dimensionality and density in high dimensional data is introduced in this work. This leads to learning stratifications, th...
SMA
2009
ACM
14 years 3 months ago
2009
ACM
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...