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… (More)
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Papers overview

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2017
2017
Vehicle detection, as an important technology for urban intelligent transportation system, is having attracted increasingly… (More)
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Highly Cited
2015
Highly Cited
2015
Pedestrian detection has been an important problem for decades, given its relevance to a number of applications in robotics… (More)
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Highly Cited
2013
Highly Cited
2013
  • Bailing Zhang
  • IEEE Transactions on Intelligent Transportation…
  • 2013
Vehicle-type recognition based on images is a challenging task. This paper comparatively studied two feature extraction methods… (More)
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2013
2013
In this paper, we propose a cascade-AdaBoost-support vector machine (SVM) classifier to complete the triaxial accelerometer-based… (More)
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2010
2010
Hierarchical classifiers are usually defined as methods of classifying inputs into defined output categories. The classification… (More)
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2009
2009
Clinical named entities convey great deal of knowledge in clinical notes. This paper investigates named entity recognition from… (More)
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Highly Cited
2007
Highly Cited
2007
In this paper, we present "k-means+ID3", a method to cascade k-means clustering and the ID3 decision tree learning methods for… (More)
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2005
2005
This paper addresses the issue of class related reject thresholds for cascading classifier systems. It has been demonstrated in… (More)
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2005
2005
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient… (More)
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Highly Cited
2003
Highly Cited
2003
This paper presents a novel tree classifier for complex object detection tasks together with a general framework for real-time… (More)
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