1463 search results - page 20 / 293 » Feature selection based on the training set manipulation |
ICPR
2010
IEEE
14 years 2 months ago
2010
IEEE
We propose a learning method for gait synthesis from a sequence of shapes(frames) with the ability to extrapolate to novel data. It involves the application of PCA, first to redu...
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
A class of sparse regularization functions are considered for the developing sparse classifiers for determining facial gender. The sparse classification method aims to both select...
ISMB
1993
13 years 8 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
SDM
2012
SIAM
11 years 10 months ago
2012
SIAM
: Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...