313 search results - page 8 / 63 » Boosting with Diverse Base Classifiers |
ICDAR
2003
IEEE
15 years 2 months ago
2003
IEEE
For combining classifiers at measurement level, the diverse outputs of classifiers should be transformed to uniform measures that represent the confidence of decision, hopefully, ...
ICPR
2010
IEEE
14 years 11 months ago
2010
IEEE
Human-area segmentation is a major issue in video surveillance. Many existing methods estimate individual human areas from the foreground area obtained by background subtraction, ...
PAMI
2008
14 years 9 months ago
2008
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
ICMLA
2008
14 years 11 months ago
2008
The test set accuracy for ensembles of classifiers selected based on single measures of accuracy and diversity as well as combinations of such measures is investigated. It is foun...
MDAI
2005
Springer
15 years 2 months ago
2005
Springer
Combining a set of classifiers has often been exploited to improve the classification performance. Accurate as well as diverse base classifiers are prerequisite to construct a good...