147 search results - page 27 / 30 » Merging Algorithm to Reduce Dimensionality in Application to... |
BMCBI
2008
13 years 7 months ago
2008
Background: The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational anal...
SAC
2008
ACM
13 years 7 months ago
2008
ACM
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
KDD
2008
ACM
14 years 7 months ago
2008
ACM
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
— In this paper we outline a grasp planning system designed to augment the cortical control of a prosthetic arm and hand. A key aspect of this task is the presence of on-line use...