1148 search results - page 168 / 230 » Dimensionality Reduction with Image Data |
102
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CVPR
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper presents a 3D approach for recognizing faces based on Principal Component Analysis (PCA). The approach addresses the issue of proper 3D face alignment required by PCA f...
FOCS
2006
IEEE
15 years 3 months ago
2006
IEEE
We convert cell-probe lower bounds for polynomial space into stronger lower bounds for near-linear space. Our technique applies to any lower bound proved through the richness meth...
AUSDM
2006
Springer
15 years 1 months ago
2006
Springer
Feature Filtering is an approach that is widely used for dimensionality reduction in text categorization. In this approach feature scoring methods are used to evaluate features le...
100
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AAAI
2008
15 years 5 days ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...