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weka机器学习十大算法
- 对机器学习领域的十个经典算法进行了详细介绍，包括：AdaBoost、Apriori、C4.5、CART、EM、K-means、kNN、PageRand、SVM和朴素贝叶斯(Ten classical algorithms in machine learning domain are introduced in detail, including AdaBoost, Apriori, C4.5, CART, EM, K-means, kNN, PageRand, SVM and Nave Baye
Adaboost人脸识别(有GUI)
- 实现人脸识别，有多种算法，包含gui界面，识别率高，程序易懂，值得借鉴(The realization of face recognition has a variety of algorithms, including the GUI interface, high recognition rate, easy to understand program, and it is worth reference.)
6715411
- 非常好的学习Adaboost算法的ppt,能全面掌握关于Adaboost算法的原理,实现等()
addaboost
- 用HAAR和Adaboost训练并检测行人，其中存在一点BUG，需要安装LIB-SVM(Using HAAR and Adaboost to train and detect pedestrians, there is a bit of BUG, and LIB-SVM needs to be installed.)
classical-machine-learning-algorithm-master
- bayesian, k-means, knn, SVM, The Apriori algorithm, expectation-maximization(EM), C4.5, page rank, AdaBoost, CART
MLInActionCode-master
- 机器学习实战的源代码集合，第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具(Machine learning combat source code collection
89123030face_recognition_adaBoost_M2
- 有级联分类器和haar特征和积分图，内部有matlab程序，适合初学者使用(There are cascading classifiers and Haar features and integral graphs, with MATLAB programs inside, suitable for beginners to use)
2
- This paper presents an online feature selection algorithm for video object tracking. Using the object and background pixels from the previous frame as training samples, we model the feature selection problem as finding a good subset of features to
AdBalloonExt
- 厉害了这个软件 我只是想下个辅助没想到这么麻烦 不会编程的人是不是就没法用了 哈哈哈(when I had lunch in a restaurant with my mother, there was a small boy next to me. He was very naughty and making noise. The boy was enjoying doing this bad thing, because other people looked at him and he
NCLASS_BT136_DRIVER
- a very largedsting afmg thai gy cho
程序
- 模式识别，基于adaboost的人脸检测的相关程序(Pattern recognition, face detection program)
7130735
- 非常好的学习Adaboost算法的ppt,能全面掌握关于Adaboost算法的原理,实现等()
cohetton-candidate
- 非常好的学习Adaboost算法的ppt,能全面掌握关于Adaboost算法的原理,实现等()
ViolaJones_version0b_bin
- 用adaboost对人脸检测，利用haar特征对积分图像进行训练，得到强弱分类器(Face detection is done by AdaBoost, and integral image is trained by Haar feature, and the strong and weak classifier is obtained.)
da
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类器；SVM本身就是(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haa
fa(4)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
ga (6)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based
gmm(2)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast Hough circle trans
rq(3)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程) AdaBoost是一种增强性机器学习算法，它用于把弱分类器联合成强分类分类器(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaB
FaceRec
- 分别用基于PCA+SVM和PCA+Adaboost 两种算法进行对200张人脸图片进行识别。(200 face images are identified by two algorithms based on PCA+SVM and PCA+Adaboost.)