1837 search results - page 197 / 368 » Learning From Ambiguous Examples |
159
Voted
NIPS
1997
15 years 7 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
193
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
Face identification is the problem of determining
whether two face images depict the same person or not.
This is difficult due to variations in scale, pose, lighting,
background...
196
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KDD
2009
ACM
16 years 6 months ago
2009
ACM
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
214
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BMCBI
2008
15 years 6 months ago
2008
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
157
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...