433 search results - page 2 / 87 » Local-Learning-Based Feature Selection for High-Dimensional ... |
189
Voted
SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
183
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BMEI
2008
IEEE
15 years 8 months ago
2008
IEEE
The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
178
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CVPR
2004
IEEE
16 years 8 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...
140
Voted
CORES
2005
Springer
15 years 11 months ago
2005
Springer
192
Voted
PAKDD
2005
ACM
15 years 11 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...