1542 search results - page 87 / 309 » Kernelization of packing problems |
DCC
2009
IEEE
16 years 14 days ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
126
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JMLR
2012
13 years 2 months ago
2012
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
JMIV
2010
14 years 10 months ago
2010
Motivated by the setting of reproducing kernel Hilbert space (RKHS) and its extensions considered in machine learning, we propose an RKHS framework for image and video colorizatio...
119
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CVPR
2004
IEEE
16 years 1 months ago
2004
IEEE
All non-trivial stereo problems need model priors to deal with ambiguities and noise perturbations. To meet requirements of increasingly demanding tasks such as modeling for rende...
SCALESPACE
2007
Springer
15 years 6 months ago
2007
Springer
We address the problem of space-variant image deblurring, where different parts of the image are blurred by different blur kernels. Assuming a region-wise space variant point spr...