403 search results - page 8 / 81 » Metric and Kernel Learning Using a Linear Transformation |
BMVC
2010
14 years 9 months ago
2010
The Hough transform provides an efficient way to detect objects. Various methods have been proposed to achieve discriminative learning of the Hough transform, but they have usuall...
MICCAI
1999
Springer
15 years 4 months ago
1999
Springer
Interpolation is required in many medical image processing operations. From sampling theory, it follows that the ideal interpolation kernel is the sinc function, which is of infin...
DGCI
2008
Springer
15 years 1 months ago
2008
Springer
In this paper, we introduce a method to express a local linear operated in the neighbourhood of each point in the discrete space as a matrix transform. To derive matrix expressions...
120
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
Kernel nonnegative matrix factorization (KNMF) is a recent kernel extension of NMF, where matrix factorization is carried out in a reproducing kernel Hilbert space (RKHS) with a f...
110
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CVPR
2005
IEEE
16 years 1 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...