11 search results - page 1 / 3 » Learning what is important: feature selection and rule extra... |
ESANN
2006
13 years 6 months ago
2006
CVPR
2006
IEEE
14 years 6 months ago
2006
IEEE
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
JMLR
2010
12 years 11 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
COLING
2008
13 years 6 months ago
2008
Most studies in statistical or machine learning based authorship attribution focus on two or a few authors. This leads to an overestimation of the importance of the features extra...
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...