414 search results - page 41 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...
JMLR
2012
11 years 10 months ago
2012
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Graph classification is an increasingly important step in numerous application domains, such as function prediction of molecules and proteins, computerised scene analysis, and an...
ICDAR
2011
IEEE
12 years 7 months ago
2011
IEEE
—We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
We consider the problem of detecting a large number of different object classes in cluttered scenes. Traditional approaches require applying a battery of different classifiers to ...