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» Combinations of Weak Classifiers
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INFFUS
2010
104views more  INFFUS 2010»
13 years 5 months ago
A selection approach for scalable fuzzy integral combination
We consider the problem of collective decision-making from an arbitrary set of classifiers under Sugeno fuzzy integral (S-FI). We assume that classifiers are given, i.e., they can...
Pilar Bulacio, Serge Guillaume, Elizabeth Tapia, L...
MCS
2000
Springer
14 years 4 days ago
Experiments with Classifier Combining Rules
Abstract. A large experiment on combining classifiers is reported and discussed. It includes, both, the combination of different classifiers on the same feature set and the combina...
Robert P. W. Duin, David M. J. Tax
ICPR
2006
IEEE
14 years 9 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh
CVPR
2008
IEEE
13 years 10 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia
AAAI
2006
13 years 10 months ago
On Combining Multiple Classifiers Using an Evidential Approach
Combining multiple classifiers via combining schemes or meta-learners has led to substantial improvements in many classification problems. One of the challenging tasks is to choos...
Yaxin Bi, Sally I. McClean, Terry J. Anderson