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» The Convergence Rate of AdaBoost
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ICML
2004
IEEE
14 years 8 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ICIP
2008
IEEE
14 years 1 months ago
Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition
In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorpo...
Ulas Bagci, Li Bai
WACV
2008
IEEE
14 years 1 months ago
Fast and Fully Automatic Ear Detection Using Cascaded AdaBoost
Ear detection from a profile face image is an important step in many applications including biometric recognition. But accurate and rapid detection of the ear for real-time appli...
Syed M. S. Islam, Mohammed Bennamoun, Rowan Davies
FGR
2004
IEEE
161views Biometrics» more  FGR 2004»
13 years 11 months ago
AdaBoost with Totally Corrective Updates for Fast Face Detection
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
Jan Sochman, Jiri Matas
ICPR
2004
IEEE
14 years 8 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