766 search results - page 36 / 154 » Variations on U-Shaped Learning |
158
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IROS
2008
IEEE
15 years 11 months ago
2008
IEEE
— A long cherished goal in artificial intelligence has been the ability to endow a robot with the capacity to learn and generalize skills from watching a human teacher. Such an ...
158
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
156
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GECCO
2008
Springer
15 years 6 months ago
2008
Springer
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
159
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ICCV
2009
IEEE
16 years 10 months ago
2009
IEEE
We present a new variational level-set-based segmentation
formulation that uses both shape and intensity prior information
learned from a training set. By applying Bayes’
rule...
118
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...