2395 search results - page 74 / 479 » A selective sampling approach to active feature selection |
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
A popular approach for dimensionality reduction and data analysis is principal component analysis (PCA). A limiting factor with PCA is that it does not inform us on which of the o...
PKDD
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
ICCV
2003
IEEE
15 years 2 days ago
2003
IEEE
Feature points for image correspondence are often selected according to subjective criteria (e.g. edge density, nostrils). In this paper, we present a general, non-subjective crit...
CVPR
2003
IEEE
15 years 5 days ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
ACIVS
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...