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153
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
146
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Edge detection is one of the most studied problems in computer vision, yet it remains a very challenging task. It is difficult since often the decision for an edge cannot be made ...
136
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ECAI
2008
Springer
15 years 5 months ago
2008
Springer
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...
147
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NN
2008
Springer
15 years 4 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
148
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ICCV
2007
IEEE
16 years 6 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...