1825 search results - page 24 / 365 » Local Dimensionality Reduction |
106
Voted
SDM
2007
SIAM
15 years 1 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...
103
Voted
KDD
2001
ACM
16 years 17 days ago
2001
ACM
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
114
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KDD
2004
ACM
16 years 17 days ago
2004
ACM
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
103
Voted
ICASSP
2009
IEEE
15 years 7 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...
107
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VLSISP
2002
14 years 11 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...