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CVPR
2005
IEEE
14 years 2 months ago
Robust Face Detection with Multi-Class Boosting
With the aim to design a general learning framework for detecting faces of various poses or under different lighting conditions, we are motivated to formulate the task as a classi...
Yen-Yu Lin, Tyng-Luh Liu
FGR
2004
IEEE
161views Biometrics» more  FGR 2004»
14 years 13 days 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
PR
2008
85views more  PR 2008»
13 years 8 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
JMLR
2010
161views more  JMLR 2010»
13 years 3 months ago
Empirical Bernstein Boosting
Concentration inequalities that incorporate variance information (such as Bernstein's or Bennett's inequality) are often significantly tighter than counterparts (such as...
Pannagadatta K. Shivaswamy, Tony Jebara
DATE
2004
IEEE
151views Hardware» more  DATE 2004»
14 years 13 days ago
Boosting: Min-Cut Placement with Improved Signal Delay
In this work we improve top-down min-cut placers in the context of timing closure. Using the concept of boosting factors, we adjust net weights according to net spans, so as to re...
Andrew B. Kahng, Igor L. Markov, Sherief Reda