434 search results - page 76 / 87 » Dimensionality Reduction of Clustered Data Sets |
BMCBI
2008
13 years 8 months ago
2008
Background: Bioinformatics data analysis toolbox needs general-purpose, fast and easily interpretable preprocessing tools that perform data integration during exploratory data ana...
BMCBI
2008
13 years 8 months ago
2008
Background: Survival time is an important clinical trait for many disease studies. Previous works have shown certain relationship between patients' gene expression profiles a...
ECCV
2010
Springer
14 years 9 days ago
2010
Springer
Patch descriptors are used for a variety of tasks ranging from finding corresponding points across images, to describing object category parts. In this paper, we propose an image ...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
CVPR
2007
IEEE
14 years 3 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...