1956 search results - page 142 / 392 » Learning the Relative Importance of Features in Image Data |
150
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GECCO
2009
Springer
15 years 8 months ago
2009
Springer
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
127
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We consider the task of driving a remote control car at high speeds through unstructured outdoor environments. We present an approach in which supervised learning is first used to...
125
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CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
The goal of motion segmentation and layer extraction can be viewed as the detection and localization of occluding surfaces. A feature that has been shown to be a particularly stro...
137
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
108
Voted
PR
2002
15 years 3 months ago
2002
Computing correspondences between pairs of images is fundamental to all structures from motion algorithms. Correlation is a popular method to estimate similarity between patches o...