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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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Related topics

Related topics

8 relations
Boosting (machine learning)Bootstrap aggregatingEnsemble learningHaar wavelet

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Human Gait Silhouettes Extraction Using Haar Cascade Classifier on OpenCV
Human Silhouette Extraction is one of the vital task in human abnormality gait detection. Hence in this study, extraction of… 
2016
2016
An Improved Multiple Features Fusion Method for Image Spam Filtering
Spam emails has brought great distress to people and most of them spread in the manner of embedded spam images, which makes the… 
2016
2016
Human Face Detection in Thermal Images Using an Ensemble of Cascading Classifiers
The paper addresses the subject of thermal imagery in the context of face detection. Its aim is to create and investigate a set… 
2015
2015
A real-time hand detection system based on multi-feature
2015
2015
Age estimation from facial images using biometric ratios and wrinkle analysis
A great deal of information can be inferred from human facial images, such as emotions, gender, race, and age. Recently age… 
2013
2013
Adaptive object detection by implicit sub-class sharing features
2013
2013
A Vision-Based Hybrid Method for Eye Detection and Tracking
As one of the most salient features of human face, eyes play an important role in interpreting and understanding a person’s… 
2011
2011
Principal Directions of Synthetic Exact Filters for Robust Real-Time Eye Localization
The alignment of the facial region with a predefined canonical form is one of the most crucial steps in a face recognition system… 
2006
2006
Real-Time License Plate Detection Under Various Conditions
This paper proposes an algorithm for real-time license plate detection. In this algorithm, the relatively easy car plate features… 
2005
2005
Improving cascading classifiers with particle swarm optimization
This paper addresses the issue of class related reject thresholds for cascading classifier systems. It has been demonstrated in… 
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