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Some important information on images of radio sources, such as radio flux and the noise of the map, is not easily accessible by astronomers other than radio astronomers, unless the...
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post graduate in University of Electronic Technology and Science of China
major in Signal and Information Processing
DAGM
2011
Springer
5 months 11 days ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
DAGM
2011
Springer
5 months 11 days ago
2011
Springer
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
DAGM
2011
Springer
5 months 11 days ago
2011
Springer
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information a...
DAGM
2011
Springer
5 months 11 days ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
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