1183 search results - page 31 / 237 » Learning Process Models with Missing Data |
110
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CVPR
2008
IEEE
16 years 3 months ago
2008
IEEE
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
We present a model-based method for accurate extraction of pedestrian silhouettes from video sequences. Our approach is based on two assumptions, 1) there is a common appearance t...
132
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ICCV
2007
IEEE
16 years 3 months ago
2007
IEEE
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
105
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CIDM
2007
IEEE
15 years 7 months ago
2007
IEEE
— In climate models, aerosol forcing is the major source of uncertainty in climate forcing, over the industrial period. To reduce this uncertainty, instruments on satellites have...
274
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ICML
2010
IEEE
15 years 2 months ago
2010
IEEE
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...