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ECCV
2006
Springer
14 years 8 months ago
Learning to Detect Objects of Many Classes Using Binary Classifiers
Viola and Jones [VJ] demonstrate that cascade classification methods can successfully detect objects belonging to a single class, such as faces. Detecting and identifying objects t...
Ramana Isukapalli, Ahmed M. Elgammal, Russell Grei...
ROBOCUP
2007
Springer
91views Robotics» more  ROBOCUP 2007»
14 years 7 days ago
Detection of AIBO and Humanoid Robots Using Cascades of Boosted Classifiers
Abstract. In the present article a framework for the robust detection of mobile robots using nested cascades of boosted classifiers is proposed. The boosted classifiers are trained...
Matías Arenas, Javier Ruiz-del-Solar, Rodri...
CVPR
2010
IEEE
13 years 11 months ago
Cascaded L1-norm Minimization Learning (CLML) Classifier for Human Detection
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
Ran Xu, Baochang Zhang, Qixiang Ye, jian bin Jiao
TITB
2010
77views Education» more  TITB 2010»
13 years 25 days ago
Automatic detection of bioabsorbable coronary stents in IVUS images using a cascade of classifiers
Bioabsorbable drug-eluting coronary stents present a very promising improvement to the common metallic ones solving some of the most important problems of stent implantation: the l...
David Rotger, Petia Radeva, Nico Bruining
ICPR
2004
IEEE
14 years 7 months ago
Boosting Nested Cascade Detector for Multi-View Face Detection
In this paper, a novel nested cascade detector for multi-view face detection is presented. This nested cascade is learned by Schapire and Singer's improved boosting algorithm...
Bo Wu, Chang Huang, Haizhou Ai, Shihong Lao