281 search results - page 28 / 57 » Group-based learning: a boosting approach |
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We treat tracking as a matching problem of detected keypoints between successive frames. The novelty of this paper is to learn classifier-based keypoint descriptions allowing to i...
105
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CIKM
2006
Springer
15 years 1 months ago
2006
Springer
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
CVPR
2007
IEEE
15 years 4 months ago
2007
IEEE
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
MCS
2002
Springer
14 years 9 months ago
2002
Springer
Bagging and boosting are two popular ensemble methods that achieve better accuracy than a single classifier. These techniques have limitations on massive datasets, as the size of t...
105
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ICCV
2005
IEEE
15 years 11 months ago
2005
IEEE
In recent years Kernel Principal Component Analysis (Kernel PCA) has gained much attention because of its ability to capture nonlinear image features, which are particularly impor...