486 search results - page 27 / 98 » Boosting and Hard-Core Sets |
TMI
2010
14 years 10 months ago
2010
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
129
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INFOCOM
2012
IEEE
13 years 2 months ago
2012
IEEE
Abstract—As the rapid expansion of smart phones and associated data-intensive applications continues, we expect to see renewed interest in dynamic prioritization schemes as a way...
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
83
Voted
ICDM
2006
IEEE
15 years 6 months ago
2006
IEEE
Classification of data with imbalanced class distribution has posed a significant drawback of the performance attainable by most standard classifier learning algorithms, which ...
100
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FGR
2004
IEEE
15 years 4 months ago
2004
IEEE
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...