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AAAI
1998
15 years 1 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
82
Voted
MVA
1990
139views Computer Vision» more  MVA 1990»
15 years 1 months ago
Generation of 3-D Models Based on Image Fusion of Range Data
This paper presents a method for measuringthe entire three dimensional (3D) shape of object, which is applicable for 3D digitizing into a solid modeling CAD. The method measures t...
Yasuo Sakaguchi, Hirokazu Kato, Kosuke Sato, Seiji...
92
Voted
WCE
2007
15 years 1 months ago
Feature Reconstruction for Face Recognition Based on Sample Image Learning
—Pose problem is a big challenge for applying face recognition technology under real world conditions. In this paper, appearance based approach was proposed to recognize face acr...
Hongzhou Zhang, Yongping Li, Lin Wang, Chengbo Wan...
CORR
2008
Springer
227views Education» more  CORR 2008»
15 years 15 days ago
An experimental analysis of Lemke-Howson algorithm
We present an experimental investigation of the performance of the Lemke-Howson algorithm, which is the most widely used algorithm for the computation of a Nash equilibrium for bi...
Bruno Codenotti, Stefano De Rossi, Marino Pagan
159
Voted
MTA
2008
179views more  MTA 2008»
15 years 11 days ago
Explicit semantic events detection and development of realistic applications for broadcasting baseball videos
This paper presents a framework that explicitly detects events in broadcasting baseball videos and facilitates the development of many practical applications. Three phases of contr...
Wei-Ta Chu, Ja-Ling Wu