1454 search results - page 141 / 291 » On High Dimensional Skylines |
184
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NIPS
2007
15 years 7 months ago
2007
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
172
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SDM
2007
SIAM
15 years 7 months ago
2007
SIAM
In recent years, privacy preserving data mining has become very important because of the proliferation of large amounts of data on the internet. Many data sets are inherently high...
162
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APBC
2004
15 years 7 months ago
2004
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...
180
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NIPS
2003
15 years 7 months ago
2003
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
159
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SDM
2003
SIAM
15 years 7 months ago
2003
SIAM
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...