513 search results - page 22 / 103 » Bayesian Approaches to Gaussian Mixture Modeling |
128
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
118
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AVSS
2006
IEEE
15 years 9 months ago
2006
IEEE
We propose a method for create a background model in non-stationary scenes. Each pixel has a dynamic Gaussian mixture model. Our approach can automatically change the number of Ga...
153
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CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
129
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
148
Voted
SAC
2010
ACM
14 years 10 months ago
2010
ACM
The label switching problem is caused by the likelihood of a Bayesian mixture model being invariant to permutations of the labels. The permutation can change multiple times betwee...