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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… Expand
Wikipedia

Papers overview

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2017
2017
Human face detection has been a challenging issue in the areas of image processing and patter recognition. A new human face… Expand
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2017
2017
In this paper, we propose algorithm and dataset for pedestrian detection focused on HCI and Augmented Reality applications. We… Expand
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2014
2014
Object detection is an important feature of computer science. The benefits of object detection is however not limited to someone… Expand
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Highly Cited
2013
Highly Cited
2013
  • B. Zhang
  • IEEE Transactions on Intelligent Transportation…
  • 2013
  • Corpus ID: 15744514
Vehicle-type recognition based on images is a challenging task. This paper comparatively studied two feature extraction methods… Expand
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Highly Cited
2011
Highly Cited
2011
A real-time and accurate human detector, C4, is proposed in this paper. C4 achieves 20 fps speed and state-of-the-art detection… Expand
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2011
2011
The alignment of the facial region with a predefined canonical form is one of the most crucial steps in a face recognition system… Expand
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Highly Cited
2008
Highly Cited
2008
Substantial medical data, such as discharge summaries and operative reports are stored in electronic textual form. Databases… Expand
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Highly Cited
2007
Highly Cited
2007
Abstract Cascades of boosted ensembles have become popular in the object detection community following their highly successful… Expand
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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… Expand
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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… Expand
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