1351 search results - page 44 / 271 » Learning from compressed observations |
COLT
2010
Springer
14 years 10 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...
102
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ACMACE
2008
ACM
15 years 2 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
106
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AAAI
1992
15 years 1 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...
110
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COOPIS
2004
IEEE
15 years 4 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...
122
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CVPR
2012
IEEE
13 years 3 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...