搜索资源列表
target-context-detect-recognition
- 在分类器的研究方面，提出了一种改进的AdaBoost算法，包括距离相关的判别准则，和基于核的感知器强分类器优化方法 -Classifier, there is proposed an improved AdaBoost algorithm, including the distance related criterion optimization method, and the strong classifier is based on the perception of the nucle
Ada_Boost
- 数据挖掘 分类 ADABOOST算法-Data mining classification Adaboost Algorithm. . . . . . . . . . . . . . .
realadaboost
- matlab的一个基于realadaboost的人脸检测程序，有详细的源码，包括haar特征的提取，以及若分类器的学习。-Matlab based on adaboost face detection procedures, there are detailed source code, including haar feature extraction, and if the classifier learning
opencvhaarchepaidingwei
- 利用opencv，采用Adaboost算法训练分类器，将训练好的分类器用于车牌定位。-Using opencv, Adaboost algorithm training classifiers, trained classifier for license plate location.
myfacedet02
- matlab代码程序，利用Adaboost算法训练人脸图像和非人脸图像，通过迭代得到由多个弱分类器组合而成的强分类器，实现图片里的人脸检测。-Matlab code，Using Adaboost algorithm to train the face images and not face images, obtained strong classifier which is conprised of multiple weak classifiers by iteration ， re
picture
- 这个源代码原创，利用MFC编程，可以实现人头检测，通过分类器检测。如果运行有问题，可以联系我，我可以提供相应boost分类器。-It s a program detecting huamn face using adaboost, with the help of MFC.
_matlab-face-detect
- 简单的人脸识别代码，使用的工具是matlab是用的adaboost算法进行特征提取和分类-Simple face recognition code, the tools matlab AdaBoost algorithm for feature extraction and classification
80901049BoostingLbp
- adaboost算法通过级联分类器进行模式识别，通过若干个弱分类器组合而成的级联分类器具有很高的识别率。-failed to translate
C_adaboost
- adaboost算法源码，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），通过测试可以运行-adaboost algorithm source code, Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers
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
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
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.
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.
Pedestr-ian-Detection
- 基于多特征的AdaBoost行人检测算法, 提出一种融合灰 度和轮廓信息的新的多特征综合表示方法. 该方法通过统计样本的权重直方图建立分类模 型, 并用多个直方图的乘积表示样本在多特征下对应的联合概率分布-AdaBoost pedestrian detection algorithm based on multi-feature, presents a fusion of grayscale and contour information of the new multi-feature
Fusing-Multiple-Feature
- 通过改进基于Haar-like特征和Adaboost的级联分类器，提出一种融合Haar-like特征和 HOG特征的道路车辆检测方法-By improving based on Haar-like features and Adaboost cascade classifier, presents a fusion of Haar-like features and characteristics of HOG road vehicle detection method
Classifier
- 几种分类器，包括adaboost和随机森林-Several classifiers including adaboost and random forest
face_detection
- 人脸识别，AdaBoost,MATALB,弱分类器级联-Face recognition, AdaBoost
pattern-recogniton
- 对类别不平衡的分类问题的几种算法实现，包括PNN，smote，BP-AdaBoost-Several algorithms for class imbalance classification problem ,including PNN, smote and BP-AdaBoost
Code
- SVM、Adaboost、K-Means 分类算法的实现，有助于理解分类算法的原理。-SVM, Adaboost, K-Means classification algorithm, helps to understand the principles of classification algorithms.