92 search results - page 11 / 19 » Data Visualization and Dimensionality Reduction Using Kernel... |
ALMOB
2006
13 years 7 months ago
2006
Two important and not yet solved problems in bacterial genome research are the identification of horizontally transferred genes and the prediction of gene expression levels. Both ...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
ICCV
2007
IEEE
14 years 1 months ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
INFOVIS
1997
IEEE
13 years 11 months ago
1997
IEEE
Metrics for information visualization will help designers create and evaluate 3D information visualizations. Based on experience from 60+ 3D information visualizations, the metric...
IBPRIA
2003
Springer
14 years 23 days ago
2003
Springer
The dimensionality of the input data often far exceeds their intrinsic dimensionality. As a result, it may be difficult to recognize multidimensional data, especially if the number...