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CVPR
2010
IEEE
15 years 5 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
ICCV
1995
IEEE
15 years 1 months ago
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
—We present a method to determine 3D motion and structure of multiple objects from two perspective views, using adaptive Hough transform. In our method, segmentation is determine...
Tina Yu Tian, Mubarak Shah
VISUALIZATION
1995
IEEE
15 years 1 months ago
Fast Multiresolution Surface Meshing
We present a new method for adaptive surface meshing and triangulationwhichcontrolsthelocallevel–of–detailofthesurface approximation by local spectral estimates. These estimat...
Oliver G. Staadt, Markus H. Gross, Roger Gatti
EGH
2009
Springer
14 years 7 months ago
A directionally adaptive edge anti-aliasing filter
The latest generation of graphics hardware provides direct access to multisample anti-aliasing (MSAA) rendering data. By taking advantage of these existing pixel subsample values,...
Konstantine Iourcha, Jason C. Yang, Andrew Pomiano...
DAGM
2011
Springer
13 years 9 months ago
Agnostic Domain Adaptation
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...
Alexander Vezhnevets, Joachim M. Buhmann