1224 search results - page 57 / 245 » On the Optimality of the Dimensionality Reduction Method |
157
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ICCV
2007
IEEE
16 years 14 days ago
2007
IEEE
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
137
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
This paper presents a new method for computing optimal L1
solutions for vision geometry problems, particularly for those
problems of fixed-dimension and of large-scale. Our strat...
186
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SDM
2007
SIAM
15 years 7 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
168
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ICIP
2007
IEEE
16 years 7 months ago
2007
IEEE
Bilateral filtering is a simple and non-linear technique to remove the image noise while preserving edges. However, it is difficult to optimize a bilateral filter to obtain desire...
212
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TSMC
2010
15 years 25 days ago
2010
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...