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» Learning Hierarchical Shape Models from Examples
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CVPR
2010
IEEE
14 years 3 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
PR
2007
216views more  PR 2007»
13 years 7 months ago
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
Hee-Deok Yang, Seong-Whan Lee
ALT
1997
Springer
13 years 11 months ago
Learning DFA from Simple Examples
Efficient learning of DFA is a challenging research problem in grammatical inference. It is known that both exact and approximate (in the PAC sense) identifiability of DFA is har...
Rajesh Parekh, Vasant Honavar
CVPR
2011
IEEE
13 years 3 months ago
Learning to Share Visual Appearance for Multiclass Object Detection
We present a hierarchical classification model that allows rare objects to borrow statistical strength from related objects that have many training examples. Unlike many of the e...
Ruslan Salakhutdinov, Antonio Torralba, Josh Tenen...
ECCV
2006
Springer
14 years 9 months ago
Molding Face Shapes by Example
Abstract. Human faces are remarkably similar in global properties, including size, aspect ratios, and locations of main features, but can vary considerably in details across indivi...
Ira Kemelmacher, Ronen Basri