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Cascading classifiers

Known as: Cascade classifier 
Cascading is a particular case of ensemble learning based on the concatenation of several Classifiers, using all information collected from the… 
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Papers overview

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2017
2017
In this technical report, we describe the use of a machine learning approach for detecting the realistic black and white ball… 
2017
2017
: The emergence of high-resolution digital cameras for the recording of still images and video streams has a significant impact… 
2016
2016
In order to solve the problem that traditional face recognition scheme was not efficiently suitable for the smart mobile terminal… 
2014
2014
In this Paper, A novel architecture for automotive vision using an embedded device will be implemented on ARM9 Board with highly… 
2013
2013
As one of the most salient features of human face, eyes play an important role in interpreting and understanding a person’s… 
2013
2013
This paper introduces a novel tracking framework for robots that can adapt various appearance changes of object and also owns the… 
2013
2013
Biometrics consists of techniques for uniquely recognizing humans based upon one or more intrinsic physical or behavioral traits… 
2007
2007
This study presents a distribution-based face detection. The proposed face detection integrates information over image space and… 
2006
2006
Viola et al. have introduced a rapid object detection framework based on a boosted cascade of simple feature classifiers. In this… 
2005
2005
This paper addresses the issue of class related reject thresholds for cascading classifier systems. It has been demonstrated in…