1584 search results - page 27 / 317 » On Combining Multiple Classifiers Using an Evidential Approa... |
SDM
2007
SIAM
13 years 11 months ago
2007
SIAM
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
ECCV
2010
Springer
13 years 10 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 ...
ECCV
2010
Springer
14 years 3 months ago
2010
Springer
Abstract. In many cases, human actions can be identified not only by the singular observation of the human body in motion, but also properties of the surrounding scene and the rel...
ICPR
2008
IEEE
14 years 4 months ago
2008
IEEE
This paper presents a new evolutionary approach for adaptive combination of multiple biometrics to dynamically ensure the performance for the desired level of security. The adapti...
ICDAR
2009
IEEE
13 years 8 months ago
2009
IEEE
Multi-classifier approach is a widespread strategy used in many difficult classification problems. Traditionally, in a multi-classifier approach, a classification decision based o...