785 search results - page 6 / 157 » Semi-Supervised Dimensionality Reduction |
CBMS
2005
IEEE
14 years 11 months ago
2005
IEEE
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
SDM
2007
SIAM
14 years 10 months ago
2007
SIAM
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
Due to the curse of dimensionality, high-dimensional data is often pre-processed with some form of dimensionality reduction for the classification task. Many common methods of su...
VLSISP
2002
14 years 9 months ago
2002
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
NIPS
2008
14 years 11 months ago
2008
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...