59 search results - page 4 / 12 » REDUS: finding reducible subspaces in high dimensional data |
EDBT
2006
ACM
15 years 9 months ago
2006
ACM
In many decision-making applications, the skyline query is frequently used to find a set of dominating data points (called skyline points) in a multidimensional dataset. In a high-...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
94
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KDD
2005
ACM
15 years 10 months ago
2005
ACM
In an interactive classification application, a user may find it more valuable to develop a diagnostic decision support method which can reveal significant classification behavior...
159
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VLDB
2007
ACM
15 years 9 months ago
2007
ACM
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
173
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ICDE
2002
IEEE
15 years 11 months ago
2002
IEEE
Nearest Neighbor search is an important and widely used problem in a number of important application domains. In many of these domains, the dimensionality of the data representati...