54 search results - page 9 / 11 » A Comparison of the Bagging and the Boosting Methods Using t... |
ICPR
2002
IEEE
13 years 11 months ago
2002
IEEE
Network intrusion detection is the problem of detecting anomalous network connections caused by intrusive activities. Many intrusion detection systems proposed before use both nor...
ECCV
2010
Springer
13 years 6 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 ...
BMCBI
2006
13 years 6 months ago
2006
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
In this paper, we introduce a robust novel approach for detecting objects category in cluttered scenes by generating boosted contextual descriptors of landmarks. In particular, ou...
IGARSS
2010
13 years 25 days ago
2010
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...