92 search results - page 5 / 19 » Data Visualization and Dimensionality Reduction Using Kernel... |
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
IJCAI
2007
13 years 9 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
AAAI
2010
13 years 9 months ago
2010
Dimensionality reduction is the process by which a set of data points in a higher dimensional space are mapped to a lower dimension while maintaining certain properties of these p...
IV
2008
IEEE
14 years 1 months ago
2008
IEEE
We visualize 113 years of bibliographic data from the American Physical Society. The 389,899 documents are laid out in a two dimensional time-topic reference system. The citations...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We introduce a parametric version (pDRUR) of the recently proposed Dimensionality Reduction by Unsupervised Regression algorithm. pDRUR alternately minimizes reconstruction error ...