1313 search results - page 29 / 263 » Dimensionality Reduction for Classification |
IDEAL
2004
Springer
15 years 7 months ago
2004
Springer
A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We pro...
107
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NIPS
2003
15 years 3 months ago
2003
We formulate linear dimensionality reduction as a semi-parametric estimation problem, enabling us to study its asymptotic behavior. We generalize the problem beyond additive Gauss...
123
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ICPR
2008
IEEE
16 years 3 months ago
2008
IEEE
Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
129
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
124
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NIPS
2008
15 years 3 months ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...