414 search results - page 14 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
DMIN
2009
13 years 5 months ago
2009
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...
ICIAR
2009
Springer
13 years 5 months ago
2009
Springer
This paper presents a robust automatic shape classifier using modular wavelet networks (MWNs). A shape descriptor is constructed based on a combination of global geometric features...
PAA
2002
13 years 7 months ago
2002
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...