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[½»Á÷] Kernel Methods in Computer Vision ÒÑÓÐ12È˲ÎÓë

Over the last years, kernel methods have established themselves as powerful
tools for computer vision researchers as well as for practitioners. In
this tutorial, we give an introduction to kernel methods in computer vision
from a geometric perspective, introducing not only the ubiquitous
support vector machines, but also less known techniques for regression,
dimensionality reduction, outlier detection and clustering. Additionally,
we give an outlook on very recent, non-classical techniques for the prediction
of structure data, for the estimation of statistical dependency
and for learning the kernel function itself. All methods are illustrated
with exampless of successful application from the recent computer vision
research literature.[ À´×Ô¿ÆÑмÒ×å È˹¤ÖÇÄÜ ]
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  • ¸½¼þ 1 : Kernel Methods in Computer Vision.pdf
  • 2012-02-02 14:58:57, 6.94 M

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