搜索资源列表
Face_detect
- 基于haar特征和adaboost算法的人脸识别程序.-Haar features and adaboost algorithm based face recognition process.
Scene-Classification
- 提供了三类场景“bedroom”、“CALsuburb”、“industrial”的样本特征集以及原始图像，分别用线性分类器、树状分类器、SVM分类器以及AdaBoost分类器对其进行区分。其中AdaBoost分类器有部分内容调用了Vezhnevets Alexander编写的源码-Provides three types of scenes " bedroom" , " CALsuburb" , " industrial" sample fea
Adaboost_Tutorial
- adaboost学习，对于初学者很有帮助，能简单理解adaboost.希望对大家有所帮助！-adaboost learning, very helpful for beginners can be simple to understand adaboost. want to help!
machine-learning-1
- 机器学习算法之adaboost算法与apriori算法，经典的外文资料。-Machine learning algorithms with the adaboost algorithm apriori algorithm, classic foreign materials.
gentleBoost
- gentleboost 算法的实现，其主要用在分类与boost和adaboost稍有不同-gentleboost algorithm, which is mainly used in classification and boost and slightly different adaboost
facedetection
- 这是基于AdaBoost的人脸检测，内容详细，值得参考！-This is based on the AdaBoost face detection, detailed and worth considering!
Classification
- 实现了多种机器语言算法，包括Adaboost、SVM-Achieve a variety of machine language algorithms, including Adaboost, SVM, etc.
tangmin
- 实现车的训练和检测，运用adaboost分类器方法-Training and testing to achieve the car, using adaboost classifier method
adaboost1
- adaboost代码，比较简单。但方便了解Adaboost算法的基本原理-The aim of the project is to provide a source of the meta-learning algorithm known as AdaBoost to improve the performance of the user-defined classifiers.
boosting_2
- 有图形接口的adaboost验证程序。但代码不好懂，发上了给大家一起研究-This demo gives a clear visual presentation of what happens during the Adaboost algorithms. It shows how the decision boundary, example weights,
BP(adaboost)
- BP神经网络作为若分类器，反复训练BP神经网络预测样本输出-As if the BP neural network classifier, repeated training samples of BP neural network output
adaboost_re
- adaboost实现，多个弱分类器，非常有用-adaboost relealization
code
- Adaboost的C实现，在原始代码上做了一点小修改，另外加上了详细的注释，能够帮助初学者更好地理解分类器具体如何学习与选择的-Adaboost C implementation, the source code to do a little modification, plus detailed notes, can help beginners to better understand the specifics of how learning and classifier selectio
facedetect1
- 利用AdaBoost算法实现人脸识别，检测人脸并定位人脸，最终实现人脸的识别-Face dection about AdaBoost
Kofsky-Code-Orange
- 人脸检测，matlab源码，适合初学者使用，包括Adaboost及Haar-like特征提取-face detectiom
CSL_adaboostV2
- ADABOOST的源码，为了方便大家理解，我修改了原文中的弱分类器最优阈值寻找的部分代码。-ADABOOST the source, in order to facilitate understanding, I modified the text of the weak classifiers optimal threshold looking for some code.
facedetection
- 视频人脸检测，基于Adaboost原理的人脸检测算法。-video face detection.Adaboost-based face detection algorithm.
Boosting
- 由于这段时间一直在学习ADABOOST，还在学习阶段，这是本人学习中所汇总的相关资料，希望会对各位有所帮助-Because this period has been learning ADABOOST, still learning stage, this is my summary of the study by the relevant information, I hope will be helpful
35246565Adaboost_LPR_Matlab_080910
- adaboost工具箱,可以运行，初学者过来看看。-adaboost toolbox, you can run, beginners come to see.
dataprocess
- 基于AdaBoost算法的人脸检测识别，以及对其人脸进行评分，详见源代码-AdaBoost algorithm based on face detection and recognition, as well as its human face to score, see the source code