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CVPR
2010
IEEE
14 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
2011
IEEE
12 years 8 months ago
Optimal Landmark Detection using Shape Models and Branch and Bound
Fitting statistical 2D and 3D shape models to images is necessary for a variety of tasks, such as video editing and face recognition. Much progress has been made on local fitting...
Brian Amberg, Thomas Vetter
CVPR
2012
IEEE
11 years 11 months ago
Cross-based local multipoint filtering
This paper presents a cross-based framework of performing local multipoint filtering efficiently. We formulate the filtering process as a local multipoint regression problem, c...
Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, Min...
ICCV
1995
IEEE
14 years 10 days ago
Steerable Wedge Filters
Steerable filters have been used to analyze local orientation patterns in imagery. Such filters are typically based on directional derivatives, whose symmetry produces orientati...
Eero P. Simoncelli, Hany Farid
ICPR
2006
IEEE
14 years 10 months ago
Convex Quadratic Programming for Object Localization
We set out an object localization scheme based on a convex programming matching method. The proposed approach is designed to match general objects, especially objects with very li...
Hao Jiang, Mark S. Drew, Ze-Nian Li