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SIGIR
2012
ACM
13 years 6 days ago
2012
ACM
Methods that reduce the amount of labeled data needed for training have focused more on selecting which documents to label than on which queries should be labeled. One exception t...
ICCV
2003
IEEE
15 years 3 months ago
2003
IEEE
Active object tracking, for example, in surveillance tasks, becomes more and more important these days. Besides the tracking algorithms themselves methodologies have to be develop...
IJHIS
2008
14 years 9 months ago
2008
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
CVPR
1999
IEEE
15 years 11 months ago
1999
IEEE
This paper presents an algorithm for constructing object representations suitable for recognition. The system automatically selects a representative subset of the views of the obj...
PAMI
2002
14 years 9 months ago
2002
We introduce a formalism for optimal sensor parameter selection for iterative state estimation in static systems. Our optimality criterion is the reduction of uncertainty in the st...