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120
Voted
CVPR
2001
IEEE
16 years 4 months ago
2001
IEEE
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
113
Voted
COLT
1999
Springer
15 years 7 months ago
1999
Springer
The empirical error on a test set, the hold-out estimate, often is a more reliable estimate of generalization error than the observed error on the training set, the training estim...
158
Voted
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
In this paper, we address the problem of learning an
adaptive appearance model for object tracking. In particular,
a class of tracking techniques called “tracking by detectionâ...
125
click to vote
IJCAI
2007
15 years 4 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...
123
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IJAR
2010
15 years 1 months ago
2010
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...