1825 search results - page 96 / 365 » Local Dimensionality Reduction |
102
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KDD
2001
ACM
16 years 1 months ago
2001
ACM
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
142
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BMCBI
2010
15 years 21 days ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
106
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ICRA
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— This paper describes the application of a RaoBlackwellized Particle Filter to the problem of simultaneous localization and mapping onboard a hovering autonomous underwa...
119
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SIGIR
2005
ACM
15 years 6 months ago
2005
ACM
Latent semantic indexing (LSI) is a well-known unsupervised approach for dimensionality reduction in information retrieval. However if the output information (i.e. category labels...
124
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TNN
2008
15 years 14 days ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...