496 search results - page 63 / 100 » Semi-Supervised Learning of Mixture Models |
ICML
2005
IEEE
16 years 18 days ago
2005
IEEE
We provide a general framework for learning precise, compact, and fast representations of the Bayesian predictive distribution for a model. This framework is based on minimizing t...
117
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ICCS
2007
Springer
15 years 6 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
222
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
109
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CDC
2009
IEEE
15 years 27 days ago
2009
IEEE
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class...
70
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ICML
2008
IEEE
16 years 18 days ago
2008
IEEE
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the timeevolving statistical properties of sequential data sets. The data collected at any time point are r...