3647 search results - page 202 / 730 » Feature Selection for SVMs |
ICDM
2005
IEEE
14 years 3 months ago
2005
IEEE
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
CAIP
2005
Springer
14 years 3 months ago
2005
Springer
Linear Discriminant Analysis (LDA) is widely known feature extraction technique that aims at creating a feature set of enhanced discriminatory power. It was addressed by many resea...
IBPRIA
2009
Springer
14 years 2 months ago
2009
Springer
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
IJCV
2008
13 years 9 months ago
2008
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
ICDAR
2011
IEEE
12 years 9 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...