396 search results - page 15 / 80 » Lossy Reduction for Very High Dimensional Data |
RECOMB
2002
Springer
15 years 9 months ago
2002
Springer
Proteins are involved either directly or indirectly in all biological processes in living organisms. It is now widely accepted that conformational changes of proteins can critical...
CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Dimensionality reduction involves mapping a set of high dimensional input points onto a low dimensional manifold so that "similar" points in input space are mapped to ne...
CVPR
2004
IEEE
15 years 11 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...
ICDE
2010
IEEE
14 years 8 months ago
2010
IEEE
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
PAMI
2010
14 years 7 months ago
2010
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...