77 search results - page 6 / 16 » Gradient LASSO for feature selection |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
PR
2007
13 years 7 months ago
2007
This paper presents an orientation operator to extract image local orientation features. We show that a proper employment of image integration leads to an unbiased orientation est...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
This paper proposes a new face recognition method. There are two novelties in the proposed method. First, a new saliency measure function is designed to detect the most salient re...
ESANN
2006
13 years 9 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
WACV
2008
IEEE
14 years 1 months ago
2008
IEEE
Biometrics has become more and more important in security applications. In comparison with many other biometric features, iris recognition has very high recognition accuracy. Succ...