1825 search results - page 59 / 365 » Local Dimensionality Reduction |
APVIS
2010
14 years 11 months ago
2010
Information visualization is essential in making sense out of large data sets. Often, high-dimensional data are visualized as a collection of points in 2-dimensional space through...
AUSAI
2006
Springer
15 years 1 months ago
2006
Springer
In this paper, we propose the Kernel Laplacian Eigenmaps for nonlinear dimensionality reduction. This method can be extended to any structured input beyond the usual vectorial data...
CIARP
2006
Springer
15 years 1 months ago
2006
Springer
Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reducti...
ICSE
2008
IEEE-ACM
15 years 10 months ago
2008
IEEE-ACM
Fault-localization techniques that utilize information about all test cases in a test suite have been presented. These techniques use various approaches to identify the likely fau...
AAAI
2006
14 years 11 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...