847 search results - page 34 / 170 » HITS is Principal Components Analysis |
132
Voted
ICASSP
2011
IEEE
14 years 4 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...
111
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JMLR
2012
13 years 2 months ago
2012
We study sparse principal components analysis in the high-dimensional setting, where p (the number of variables) can be much larger than n (the number of observations). We prove o...
108
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ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
101
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BMCBI
2008
15 years 17 days ago
2008
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
105
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CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...