422 search results - page 3 / 85 » Online Selection of Tracking Features using AdaBoost |
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
TMI
2010
14 years 7 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)...
116
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NIPS
2003
14 years 10 months ago
2003
Face detection is a canonical example of a rare event detection problem, in which target patterns occur with much lower frequency than nontargets. Out of millions of face-sized wi...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
103
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SIGKDD
2008
14 years 9 months ago
2008
This paper presents our solution for KDD Cup 2008 competition that aims at optimizing the area under ROC for breast cancer detection. We exploited weighted-based classification me...