1707 search results - page 99 / 342 » A Boosting Algorithm for Regression |
152
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ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
129
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ECIR
2011
Springer
14 years 8 months ago
2011
Springer
Adaptation techniques based on importance weighting were shown effective for RankSVM and RankNet, viz., each training instance is assigned a target weight denoting its importance ...
149
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SCFBM
2008
15 years 3 months ago
2008
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
223
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CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Many semi-supervised learning algorithms only
deal with binary classification. Their extension to the
multi-class problem is usually obtained by repeatedly
solving a set of bina...
145
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
We present a novel approach for fast object class recognition incorporating contextual information into boosting. The object is represented as a constellation of generalized corre...