251 search results - page 28 / 51 » A Greedy EM Algorithm for Gaussian Mixture Learning |
ISBI
2006
IEEE
15 years 10 months ago
2006
IEEE
We have developed two algorithms for source imaging from MEG/EEG data. Contribution to sensor data from a source at a particular voxel is expressed as the product of a known lead ...
110
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TSP
2010
14 years 4 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
NECO
1998
14 years 9 months ago
1998
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
104
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CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...