搜索资源列表
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
ObjectRecognize
- 实时运动物体分割，识别，分类算法，效果不错，采用弱分类器 gentel adaboost 算法-Real-time Object Classification in Video Surveillance Based on Appearance Learning
3
- 用于眼睛定位二维级联分类器的介绍，内容不错，不过是英文的-2D Cascaded AdaBoost for Eye Localization
Adaboost-Algorithm
- 2001年第一次提出应用于人脸检测的adboost分类算法。能够用于二分类。-In 2001, the adaboost algorithm was first come up as the method to solve the problem of face detection.
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
plate-detection
- 车牌识别的算法描述：Haar特征以及Adaboost分类器-License Plate Recognition Algorithm Descr iption: Haar features and Adaboost classifiers
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
adaboost
- 最好理解的adboost算法，介绍数据产生，若分类器，强分类器，-The best adboost algorithm understandable presentation of data generated, if the classifier, strong classifier,
DOCUMENTS
- 车辆检测和跟踪的两篇论文，基于感兴趣区域AdaBoost分类器的视频车辆检测研究，以及卡尔曼粒子滤波的视频车辆跟踪算法研究-Video vehicle detection tracking
renlianshibie
- 利用PCA进行降维，并利用adaboost进行分类的人脸识别方法描述-Use PCA dimensionality reduction , face recognition method using adaboost classification descr iption
HaarPAdaBoost
- Haar+AdaBoost分类器训练总结-Haar+ AdaBoost classifier training summary
classifier
- 一些分类器尝试，包括SVM，KNN，自带树与adaboost或者bagging结合等。(Some classifiers test,such as SVM,KNN,etc, including test data. Only some of the methods are included in the main.m.)