Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

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
Instant Human Face Attributes Recognition System
The objective of this work is to provide a simple and yet efficient tool for human attributes like gender, age and ethnicity by… 
2009
2009
The Automatic Categorization of Arabic Documents by Boosting Decision Trees
Automatic document classification has been subject to research since the early 1960s. However, additional research is still… 
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… 
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… 
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…