54 search results - page 9 / 11 » An Empirical Evaluation of Bagging and Boosting |
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
ICDM
2003
IEEE
14 years 22 days ago
2003
IEEE
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
DOCENG
2009
ACM
13 years 5 months ago
2009
ACM
In this paper, we evaluate different geometric consistency schemes, which can be used in tandem with an efficient architecture, based on voting and local descriptors, to retrieve ...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
ACIVS
2008
Springer
14 years 1 months ago
2008
Springer
A currently popular trend in object detection and pattern recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these cla...