886 search results - page 96 / 178 » Distributed linear discriminant analysis |
159
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PODC
2009
ACM
16 years 3 months ago
2009
ACM
The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
164
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CVPR
2001
IEEE
16 years 4 months ago
2001
IEEE
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
124
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CVPR
2007
IEEE
16 years 4 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...
142
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ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
142
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ICIP
2008
IEEE
15 years 9 months ago
2008
IEEE
Recently Zhang et al described an algorithm for the detection of ±1 LSB steganography based on the statistics of the amplitudes of local extrema in the greylevel histogram. Exper...