94 search results - page 11 / 19 » GA-based Feature Subset Selection for Myoelectric Classifica... |
BMCBI
2010
13 years 6 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
ISBI
2004
IEEE
14 years 7 months ago
2004
IEEE
Fluorescence microscope images capture information from an entire field of view, which often comprises several cells scattered on the slide. We have previously trained classifiers...
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...
ICCV
2003
IEEE
14 years 8 months ago
2003
IEEE
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
BMCBI
2006
13 years 6 months ago
2006
Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...