785 search results - page 7 / 157 » Semi-Supervised Dimensionality Reduction |
SISAP
2008
IEEE
15 years 3 months ago
2008
IEEE
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
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Voted
PKDD
2004
Springer
15 years 2 months ago
2004
Springer
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
