683 search results - page 39 / 137 » Active Sampling for Feature Selection |
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Feature design and feature selection are two key problems in facial image based age perception. In this paper, we proposed to using ranking model to do feature selection on the ha...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
COLING
2010
13 years 2 months ago
2010
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
TIP
2008
13 years 7 months ago
2008
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...