1313 search results - page 36 / 263 » Dimensionality Reduction for Classification |
102
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CIARP
2006
Springer
15 years 5 months ago
2006
Springer
Linear dimensionality reduction (LDR) is quite important in pattern recognition due to its efficiency and low computational complexity. In this paper, we extend the two-class Chern...
109
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
135
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IS
2008
15 years 1 months ago
2008
We propose a dimensionality reduction technique for time series analysis that significantly improves the efficiency and accuracy of similarity searches. In contrast to piecewise c...
110
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PKDD
2010
Springer
15 years 10 days ago
2010
Springer
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...
132
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CVPR
2005
IEEE
16 years 4 months ago
2005
IEEE
In the last decades, a large family of algorithms supervised or unsupervised; stemming from statistic or geometry theory have been proposed to provide different solutions to the p...