Description: Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
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Author:njustyw |
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Description: adaboost 弱分类器构成强分类器算法，并作图，分析样本数对性能的影响-constitute a weak classifier AdaBoost strong classifier algorithm, and mapping, analysis of sample size on the performance of Platform: |
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Author:毛楠 |
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Description: 人脸识别论文：《采用Adaboost算法进行面部表情识别》《动态权值预划分实值Adaboost人脸检测算法》《改进的AdaBoost分类器在视频中的体育场景检测》-Face recognition thesis: the use of Adaboost algorithm to identify facial expressions, dynamic weight pre-classified real Adaboost face detection algorithm, Improved AdaBoost classifier of sports in the video scene detection Platform: |
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Author:王云 |
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Description: adaboost是语音识别分类器设计的最好方法，目前在识别分类方面进行了应用-AdaBoost is a voice recognition classifier design the best way, the current classification in identifying aspects of the application Platform: |
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Author:朱利 |
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Description: Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weaker
ifier)通过一定的方法叠加(boost)起来，构成一个分类能力很强的强分类器
眼eClassifier)，再将若干个强分类器串联成为分级分类器(ClassifierCaseade)
图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器
成为强分类器，再将强分类器串联成为分级分类器。
-Adaboost algorithm basic idea is: the ability to use the general classification of a large number of weak classifier (weakerifier) through a certain method of superposition (boost), and constitute a strong Category strong classifier eyes eClassifier), then a number of strong Category connected in series to become hierarchical classifier (ClassifierCaseade) image search detection. Adaboost algorithm is to use this article will be generated characteristics category haar weak classifier become strong classifier, and then become a strong tandem Classifier Classifier classification. Platform: |
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Author:wangxuyang |
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Description: AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.-AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem. Platform: |
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Author:来海锋 |
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Description: Adaboost实现，主要用于机器学习的多分类器聚合， 最终形成分类效果逐渐增强的分类器-Adaboost implementation, is mainly used for machine learning, multiple classifier aggregation, the final shape classification results show a gradual increase of the classifier Platform: |
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Author:Shannon Liu |
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Description: 采用C语言实现的Adaboost算法，一个很经典的分类器算法-Using C language of the Adaboost algorithm, a classic Classifier Platform: |
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Author:shixuemei |
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Description: 使用MATLAB 编程实现的自适应增强分类器的一个具体实例，内含具体程序，并已调试成功-Adaptive Programming using MATLAB enhanced classifier to a specific case that contains specific procedures, and has been successful commissioning Platform: |
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Author:wenjun |
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Description: 这个程序介绍了adaboost分类器的实际，样本个数是10个，所以我们可以跟着这个程序走一下来感受一下，这个分类器的强大。-This procedure describes the actual adaboost classifier, the sample number is 10, so we can look to go along with this program feel that the strong classifier. Platform: |
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Author:冀国亮 |
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Description: AdaBoost 是一种将弱分类器线性结合成强分类器的方法，由Jiri Matas 和 Jan Sˇ ochman提出-AdaBoost is a linear combination of the weak classifiers into a strong classifier method, by Jiri Matas and Jan S ochman proposed Platform: |
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Author:董晶晶 |
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Description: 一个分类器，实现对特征的分类，共同学习，共同进步，一起讨论，加油-A classifier, to achieve the classification of features, common learning and common progress, to discuss, refueling Platform: |
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Author:陈旭 |
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Description: 采用matlab实现了Adaboost分类器算法，有利于学生对分类器的学习！-The function of this code is to implement the Adaboost algorithm using matlab programming language,which is very useful to learn of all kinds of classifier for students, especially for beginners. Platform: |
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