1224 search results - page 7 / 245 » On the Optimality of the Dimensionality Reduction Method |
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
68
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IMR
2003
Springer
15 years 2 months ago
2003
Springer
187
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ICDE
2003
IEEE
15 years 10 months ago
2003
IEEE
The notorious "dimensionality curse" is a well-known phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well known approach to o...
105
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BMCBI
2010
14 years 9 months 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 ...
120
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PODS
2001
ACM
15 years 9 months ago
2001
ACM
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...