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ICPR
2004
IEEE
14 years 11 months ago
Inter-Stage Feature Propagation in Cascade Building with AdaBoost
A modification of the cascaded detector with the AdaBoost trained stage classifiers is proposed and brought to bear on the face detection problem. The cascaded detector is a seque...
Jan Sochman, Jiri Matas
ICARCV
2008
IEEE
222views Robotics» more  ICARCV 2008»
14 years 4 months ago
Robust fusion using boosting and transduction for component-based face recognition
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...
Fayin Li, Harry Wechsler, Massimo Tistarelli
DAGM
2003
Springer
14 years 3 months ago
Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection
Recently Viola et al. have introduced a rapid object detection scheme based on a boosted cascade of simple feature classifiers. In this paper we introduce and empirically analysis ...
Rainer Lienhart, Alexander Kuranov, Vadim Pisarevs...
AAAI
2004
13 years 11 months ago
Methods for Boosting Revenue in Combinatorial Auctions
We study the recognized open problem of designing revenuemaximizing combinatorial auctions. It is unsolved even for two bidders and two items for sale. Rather than pursuing the pu...
Anton Likhodedov, Tuomas Sandholm
AAAI
1998
13 years 11 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