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AdaBoost

Known as: Adaboosting 
AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the Gödel Prize… 
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Related topics

Related topics

34 relations
Adaptive algorithmBackfitting algorithmBackpropagationBag-of-words model in computer vision

Broader (1)

Ensemble learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Improve Pedestrian Attribute Classification by Weighted Interactions from Other Attributes
Recent works have shown that visual attributes are useful in a number of applications, such as object classification, recognition… 
2013
2013
MultiClass Object Classification in Video Surveillance Systems - Experimental Study
There is a growing demand in automated public safety systems for detecting unauthorized vehicle parking, intrusions, unintended… 
2013
2013
A NOVEL FEATURE EXTRACTION TECHNIQUE FOR FACIAL EXPRESSION RECOGNITION
This paper presents a new technique to extract the light invariant local feature for facial expression recognition. It is not… 
2011
2011
A co-training framework for visual tracking with multiple instance learning
This paper proposes a Co-training Multiple Instance Learning algorithm (CoMIL). Our framework is based on the co-training… 
2008
2008
Randomized trees for real-time one-step face detection and recognition
We present a system for detecting and recognizing faces in images in real-time which is able to learn new identities in instants… 
2008
2008
Multi-attribute robust facial feature localization
In this paper, we focus on the reliable detection of facial fiducial points, such as eye, eyebrow and mouth corners. The proposed… 
2007
2007
Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles… 
2007
2007
Naïve Bayes Ensembles with a Random Oracle
Ensemble methods with Random Oracles have been proposed recently (Kuncheva and Rodriguez, 2007). A random-oracle classifier… 
2003
2003
Component Fusion for Face Detection in the Presence of Heteroscedastic Noise
Face detection using components has been proved to produce superior results due to its robustness to occlusions and pose and… 
2003
2003
Fast Face Detection Using AdaBoost
Keywords: face_det ; lts5 Reference EPFL-STUDENT-86954 Record created on 2006-06-14, modified on 2017-05-10 
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