3467 search results - page 46 / 694 » Streamwise Feature Selection |
ISDA
2009
IEEE
14 years 5 months ago
2009
IEEE
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
NIPS
2000
14 years 14 days ago
2000
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
ISDA
2009
IEEE
14 years 5 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
SDM
2008
SIAM
14 years 17 days ago
2008
SIAM
With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
CVPR
2007
IEEE
14 years 5 months ago
2007
IEEE
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust ...