1412 search results - page 196 / 283 » Selectivity Estimation using Probabilistic Models |
134
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Recognizing object classes and their 3D viewpoints is an
important problem in computer vision. Based on a partbased
probabilistic representation [31], we propose a new
3D object...
146
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ICML
1994
IEEE
15 years 8 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
153
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ICPR
2006
IEEE
16 years 5 months ago
2006
IEEE
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
150
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ICCV
2003
IEEE
16 years 6 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
162
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DATE
2005
IEEE
15 years 10 months ago
2005
IEEE
Efficient evaluation of design choices, in terms of selection of algorithms to be implemented as hardware or software, and finding an optimal hw/sw design mix is an important re...