1760 search results - page 68 / 352 » Learning from Partial Observations |
106
Voted
ENC
2006
IEEE
15 years 9 months ago
2006
IEEE
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
130
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COLT
2010
Springer
15 years 1 months ago
2010
Springer
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
132
Voted
AAAI
1992
15 years 4 months ago
1992
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
134
Voted
COOPIS
2004
IEEE
15 years 7 months ago
2004
IEEE
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
149
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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...