1825 search results - page 224 / 365 » Local Dimensionality Reduction |
134
Voted
ICCV
2009
IEEE
16 years 8 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...
169
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CVPR
2001
IEEE
16 years 5 months ago
2001
IEEE
In this paper we describe two methods for estimating the motion parameters of an image sequence. For a sequence of images, the global motion can be described by ???? independent m...
156
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CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
120
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
110
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ICCV
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper we propose to transform an image descriptor so that nearest neighbor (NN) search for correspondences becomes the optimal matching strategy under the assumption that ...