59 search results - page 1 / 12 » Direct Zero-Norm Optimization for Feature Selection |
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
ICMLA
2010
13 years 2 months ago
2010
Recently, the so-called Support Feature Machine (SFM) was proposed as a novel approach to feature selection for classification, based on minimisation of the zero norm of a separati...
ICDAR
2011
IEEE
12 years 4 months ago
2011
IEEE
—LDA transformation is one of the popular feature dimension reduction techniques for the feature extraction in most handwritten Chinese characters recognition systems. The integr...
NIPS
2003
13 years 6 months ago
2003
A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly se...
PAMI
2010
13 years 3 months ago
2010
—Stability (robustness) of feature selection methods is a topic of recent interest, yet often neglected importance, with direct impact on the reliability of machine learning syst...