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» Methods for Dynamic Classifier Selection
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CVPR
2008
IEEE
15 years 4 days ago
Mining compositional features for boosting
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
Junsong Yuan, Jiebo Luo, Ying Wu
P2P
2005
IEEE
189views Communications» more  P2P 2005»
14 years 3 months ago
Proximity Neighbor Selection for a DHT in Wireless Multi-Hop Networks
A mobile ad hoc network (MANET) is a multi-hop wireless network having no infrastructure. Thus, the mobile nodes have to perform basic control tasks, such as routing, and higher-l...
Curt Cramer, Thomas Fuhrmann
ISCIS
2009
Springer
14 years 4 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
KES
2007
Springer
13 years 10 months ago
Dynamic route planning for car navigation systems using virus genetic algorithms
This paper describes a practical dynamic route planning method using real road maps in a wide area. The maps include traffic signals, road classes, and the number of lanes. The pr...
Hitoshi Kanoh
ICPR
2004
IEEE
14 years 11 months ago
Multi-View Face Detection under Complex Scene based on Combined SVMs
A single face classifier has difficulty in detecting multiview faces under real and complex scenes due to various poses, cluttering environment and small size of faces. In this pa...
Peng Wang, Qiang Ji