9 search results - page 1 / 2 » Boosting Invariance and Efficiency in Supervised Learning |
77
Voted
ICCV
2007
IEEE
16 years 27 days ago
2007
IEEE
In this paper we present a novel boosting algorithm for supervised learning that incorporates invariance to data transformations and has high generalization capabilities. While on...
151
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CVPR
2009
IEEE
16 years 6 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...
NIPS
2004
15 years 10 days ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
105
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ECCV
2008
Springer
16 years 25 days ago
2008
Springer
Viewpoint invariant pedestrian recognition is an important yet under-addressed problem in computer vision. This is likely due to the difficulty in matching two objects with unknown...
113
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AAAI
2010
15 years 12 days ago
2010
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...