921 search results - page 45 / 185 » Kernel Principal Component Analysis |
123
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ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose an unconventional but highly effective approach
to robust fitting of multiple structures by using statistical
learning concepts. We design a novel Mercer kernel
for t...
114
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NIPS
2000
15 years 3 months ago
2000
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
115
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JASIS
2006
15 years 2 months ago
2006
The aggregated citation relations among journals included in the Science Citation Index provide us with a huge matrix which can be analyzed in various ways. Using principal compon...
120
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ICCV
2007
IEEE
15 years 8 months 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...
145
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ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
There is an increasing number of methods for removing haze and fog from a single image. One of such methods is Dark Channel Prior (DCP). The goal of this paper is to develop a mat...