搜索资源列表
adaboost算法
- adaboost,为boost方法的一种方法,可以实现分类,有弱分类到强分类
Adaboost
- 一个用matlab的实现的Adaboost_M1, 主要用运捆绑不同的分类器. boosting 算法的一种 -using a Matlab Adaboost_M1 the realization of the main shipped bundled with different types of devices. A boosting algorithm
3AdaBoost
- adaboost分类器源代码,由若干弱分类器进行组合-adaboost classifier source code, a number of weak classifier combination
adaboost
- adaboost算法,当今最快的分类算法,基于matlab的源代码
code_about_AdaBoost.rar
- AdaBoost算法中寻找最优阈值分类器的代码优化.htm,AdaBoost algorithm to find the optimal threshold classifier code optimization. Htm
gacv02
- 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 u
Adaboost_train
- ADBOOST的训练代码,有供训练的数据,弱分类器训练,强分类器训练,和错误率,对理解ADABOOST是很好的例程-codes of adaboost traning,containing data for traning, implementation of weakleaner and cascad,and error as well,it can help us leaning ADABOOST
haarcascades
- opencv中haar+Adaboost已经训练好的分类器。有双目、身体等等,出自专家之手,必属精品,CV 1.0版本的有需要就下吧。-haarcascades train by expects, body, eyes.. xml files of many kinds are included which can be used directly. OpenCV 1.0 ver can download from here.
code
- 多种分类器的代码,代码非常好,希望大家能下载,因为这里面涵盖了haar,adaboost,treelearner,singlestumplearner,constantlearner很多学习方法-Multiple classification code, the code is very good, I hope you can download, as this which covers the haar, adaboost, treelearner, singlestumplearner,
Face-Detection
- 基于Adaboost级联分类的人脸和人眼检测,其中的三个xml是Adaboost分类器参数-Adaboost cascade based on the human face and eye detection, three of which are Adaboost classifier parameters xml
GML_AdaBoost_Matlab_Toolbox_0.3
- 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
Adaboostsorting
- 关于人工智能中的Adaboost分类算法演示.-On Artificial Intelligence in Adaboost classification algorithm demo.
Haar_classfy_target
- 利用Haar分类器寻找检测目标,进行跟踪-The use of Haar classifiers to find the target detection, tracking
learners
- WeakLearner,弱分类器,可供Adaboost训练使用,补充-WeakLearner, the weak classifier, for training in the use of Adaboost, supplementary
multiboost-0.71.src.tar
- MultiBoost 是c++实现的多类adaboost酸法。与传统的adaboost算法主要解决二类分类问题不同,MultiBoost解决的是多类的分类问题,而并不是把多类转化成二类问题。-MultiBoost is a C++ implementation of the multi-class AdaBoost algorithm. AdaBoost is a powerful meta-learning algorithm commonly used in machine learning
online
- 实时的训练和分类图像中的画面,通过熟练运用online的性质,运用那个adaboost原理来实现-Training and classification of real-time images of the screen, through the skilled use of the nature of online, using the principle of AdaBoost to achieve
FaceDetectionDlg
- 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.
train_v2
- 一个基于adaboost的人脸检测分类器训练程序,用MATLAB写的,希望能和大家分享-a face detect programme based on adaboost which is written by matlab
AdaBoost_weaklearner_1
- adaboost 弱分类器学习算法,最成功的人脸识别算法。但是学习时间很长,这是它的缺点-adaboost
AdaboostFr
- ADABOOST用于人脸检测的训练和分类程序改进,速度更快。-FOR FACE DETECTION FEATURE EXTRACTION AND CLASSIFICATION WITH QUICKER SPEED