59 search results - page 10 / 12 » Compressive Principal Component Pursuit |
74
Voted
KES
2005
Springer
15 years 3 months ago
2005
Springer
This paper presents a new algorithm for feature generation, which is approximately derived based on geometrical interpretation of the Fisher linear discriminant analysis. In a fiel...
126
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Multilinear analysis provides a powerful mathematical framework for analyzing synthetic aperture radar (SAR) images resulting from the interaction of multiple factors like sky lum...
82
Voted
ACMACE
2008
ACM
14 years 11 months ago
2008
ACM
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
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...
SI3D
2005
ACM
15 years 3 months ago
2005
ACM
This paper presents a new technique for rendering bidirectional texture functions (BTFs) at different levels of detail (LODs). Our method first decomposes each BTF image into mul...