143 search results - page 8 / 29 » Generalization Error and Algorithmic Convergence of Median B... |
160
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
HIS
2004
15 years 1 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
104
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ICASSP
2009
IEEE
15 years 6 months ago
2009
IEEE
We consider the estimation of the locations of multiple transmitters based on received signal strength measurements at a network of randomly-placed receivers. We generalize the ex...
JOTA
2010
14 years 10 months ago
2010
We consider a distributed multi-agent network system where the goal is to minimize a sum of agent objective functions subject to a common set of constraints. For this problem, we p...
MCS
2002
Springer
14 years 11 months ago
2002
Springer
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...