1956 search results - page 60 / 392 » Learning the Relative Importance of Features in Image Data |
CLEF
2004
Springer
14 years 2 months ago
2004
Springer
This article describes the technologies used for the various runs submitted by the University of Geneva in the context of the 2004 ImageCLEF competition. As our expertise is mainly...
CVPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
TKDE
2008
13 years 8 months ago
2008
Abstract-- Feature selection is an important method for improving the efficiency and accuracy of text categorization algorithms by removing redundant and irrelevant terms from the ...
IJCV
2007
13 years 8 months ago
2007
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...