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108
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AAAI
1998
15 years 4 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
CVPR
1999
IEEE
16 years 4 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
115
Voted
ACCV
2009
Springer
15 years 9 months ago
Learning Group Activity in Soccer Videos from Local Motion
Abstract. This paper proposes a local motion-based approach for recognizing group activities in soccer videos. Given the SIFT keypoint matches on two successive frames, we propose ...
Yu Kong, Weiming Hu, Xiaoqin Zhang, Hanzi Wang, Yu...
121
Voted
AUSAI
2006
Springer
15 years 6 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan
102
Voted
DGO
2010
119views Education» more  DGO 2010»
15 years 4 months ago
Information and transparency: learning from recovery act reporting experiences
The American Recovery and Reinvestment Act (2009) promised strict accounting of all funds spent and the publication of that information to the public in relative real-time. The fe...
Natalie Helbig, Evgeny Styrin, Donna S. Canestraro...