327 search results - page 8 / 66 » Density Estimation by Mixture Models with Smoothing Priors |
DAGM
2010
Springer
13 years 9 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
We introduce mixture trees, a tree-based data-structure for modeling joint probability densities using a greedy hierarchical density estimation scheme. We show that the mixture tr...
ICANN
2010
Springer
13 years 9 months ago
2010
Springer
In this work, a novel probability distribution is proposed to model sparse directional data. The Directional Laplacian Distribution (DLD) is a hybrid between the linear Laplacian d...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
PRL
2006
13 years 8 months ago
2006
We analyze the computer vision task of pixel-level background subtraction. We present recursive equations that are used to constantly update the parameters of a Gaussian mixture m...