182 search results - page 13 / 37 » Component-wise parameter smoothing for learning mixture mode... |
108
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ECCV
2010
Springer
15 years 27 days ago
2010
Springer
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
108
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NIPS
1998
15 years 1 months ago
1998
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
105
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NIPS
2003
15 years 1 months ago
2003
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
CORR
2000
Springer
14 years 11 months ago
2000
Springer
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually deriv...
110
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NECO
1998
14 years 11 months ago
1998
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...