Description: 用帧间差法及Adaboost算法实现人脸检测，可以增加人脸检测的效率-Using inter-frame difference method and the Adaboost face detection algorithm, it can increase the efficiency of face detection Platform: |
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Author:萧枫 |
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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: 应用OpenCV进行人脸检测。Adaboost算法实现起来比较复杂，应用OpevCV提供的函数和分类器进行人脸检测将十分容易。-Application of OpenCV for face detection. Adaboost algorithm to achieve more complex, applications provided by OpevCV function and classifier for face detection will be very easy. Platform: |
Size: 7168 |
Author:huzhanqi |
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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: |
Size: 6144 |
Author:来海锋 |
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Description: gacv 名字取自 gabor , adaboost , opencv , 他用了 gabor滤波，AdaBoost （MultiBoost ）
分类器和 opencv 开发库，这是第二个测试版叫 gacv02 。这个程序的第一个测试版 gacv01
可以检测大小有一定变化的目标，但是不能检测平面旋转的目标。gacv02 改进了算法可以处
理目标的大小变化和平面旋转，检测速度也有了提高。
-gacv name from gabor, adaboost, opencv, he used gabor filtering, AdaBoost (MultiBoost) classifier and opencv Development Library, this is the second beta version is called gacv02. The program' s first test version of gacv01 can detect changes in the size of a certain goal, but can not detect plane rotation target. gacv02 improved algorithm can handle the size of target changes and plane rotation, speed was also higher. Platform: |
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Author:zxl |
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Description: adaboost源码Adaboost是一种迭代算法，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)。-adaboost source is an iterative algorithm Adaboost, the core idea is that a training set for the same training the different classifiers (weak classifier), then these weak classifiers together to form a stronger final classifier (strong classification device). Platform: |
Size: 1024 |
Author:ado |
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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: 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! Platform: |
Size: 6144 |
Author:machinery |
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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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Author: |
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Description: 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. Platform: |
Size: 346112 |
Author:丁丁 |
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Description: 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 Platform: |
Size: 9216 |
Author:豆豆 |
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Description: 一种基于类Haar 特征和改进AdaBoost
分类器的车辆识别算法-An Algorithm Based on Haar Like Features and Improved AdaBoost
Classifier for Vehicle Recognition Platform: |
Size: 520192 |
Author:黄华盛 |
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Description: 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 final classifier. The algorithm is achieved by changing the data distribution.) Platform: |
Size: 5120 |
Author:廿四包
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Search - adaboost classifier algorithm