327 search results - page 8 / 66 » Density Estimation by Mixture Models with Smoothing Priors |
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DAGM
2010
Springer
15 years 29 days 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
16 years 1 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...
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ICANN
2010
Springer
15 years 28 days 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
15 years 5 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
14 years 11 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...