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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
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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 learnin
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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
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On-line AdaBoost分类器，AdaBoost分类器的改进，在线学习更新分类器，多用于目标跟踪-On-line AdaBoost classifier, AdaBoost classifiers to improve online learning update classifier, used for target tracking
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用matlab实现的adaboost分类器算法-Implemented with the matlab adaboost Classifier
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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
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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 abi
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adaboost training for select weak classifier.
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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
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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.
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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
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adaboost to train a classifier-adaboost classifier
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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
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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.
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Adaboost算法是一类弱分类器，本算法使用adaboost算法实现对于训练数据划分成两个组，然后可以用来进行数据的分类。-Adaboost algorithm is a class of weak classifier, the algorithm uses adaboost algorithm for the training data into two groups, and then can be used for data classification.
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adaboost智能算法源程序，将若分类器反复训练得到强分类器，用于二分类问题-adaboost intelligent algorithm source code, will be repeated if the classifier has been trained strong classifier for the two classification
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这个是经典的adaboost分类器算法，很有用的-This is a classic adaboost classifier algorithm, very useful
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基于matlab环境的adaboost分类器,用于人脸识别face detection的算法-Adaboost classifier based on the Matlab environment
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adaboost classifier use for classification of data-adaboost classifier use for classification of data.....
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用MATLAB编写的实现ADABOOST算法的程序，包括级联分类器的设计。-matlab reality adaboost with cascade classifier
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