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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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用matlab实现的adaboost分类器算法-Implemented with the matlab adaboost 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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AdaBoost分类器的源代码的用户手册， 内有原始代码下载网址。-AdaBoost classifier source code of the user manual, there are source code download link.
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最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解-This a classic AdaBoost implementation, in one single file with easy understandable code.
The function consist of two parts a simple weak classifier and a boosting part:
The weak classifier tries to find the b
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matable下编的一个算法！线性阈值分类器运用AdaBoost算法！-An Algorithm for under matable! The use of linear threshold classifier AdaBoost algorithm!
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Image descr iptor based on Histogram of Orientated Gradients for gray-level images. This code
was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
Classifier-Fusion Schemes: An Application To Pedestrian De
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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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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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经典的Adaboost分类器训练过程详细的matlab代码解释，对做模式识别的人很有用-Classic Adaboost classifier training process explained in detail matlab code, to do pattern recognition is useful
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用python实现的AdaBoost分类算法，文件是一个ipython notebook，可以直接用ipython/jupyter打开使用。内附简单测试数据集。
程序运行需要numpy库的支持。-An AdaBoost classifier implemented with Python.
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adboost分类器 matlab源程序 用于训练样本 实现分类-Adaboost classifier Matlab source for training samples to achieve classification
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其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器)。其算法本身是通过改变数据分布来实现的(Adaboost as an iterative algorithm which core idea is to train several different weak classifiers for the same dataset and then collect them together to form a stronger
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一个简单的基于matlab实现的adaboost分类器算法实现(A simple implementation of AdaBoost classifier algorithm based on MATLAB)
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