搜索资源列表
objectmarker
- 在人脸检测中用于标记人脸位置的objectmarker.exe，本人花了很大力气才收集到的-Face Detection in for marking the location of human faces objectmarker.exe, I spent a lot only collected
License-Plate-Detection-Using-AdaBoost
- This jurnal about " license plate detection "-This is jurnal about " license plate detection "
call-Video-achieve-face-detection
- 调用视频实现人脸识别。基于haarcascades+adaboost算法使用opencv实现-Call the video face recognition. Use opencv achieve haarcascades+adaboost algorithm
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
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
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
detect
- 用adaboost分类器实现人脸检测的小程序-With adaboost classifier for face detection applet
adaboost_version1e
- adaboost ALGORITHM FOR CLASSIFICATION
AdaboostCode
- 用python实现的adaboost算法，其中基分类器为树桩分类器，并附有训练数据-Adaboost algorithm implemented with python, which base classifiers for stump classifier, along with training data
1
- 数据分类，AdaBoost算法提升SVM，MATLAB算法-it is useful。
Adaboost-MATLAB
- 人脸检测,采用Matlab实现的，一种典型的机器学习算法-face decting
example
- adaboost example face detection
tw357
- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Machine learning routines, Simulation of doubly fed induction generator system.
拟合代码
- 仿真处理光纤数据，一种简单的拟合方法，易学。附赠adaboost算法论文一篇(photonic crystal fiber dispersion fitting curve based on matlab)
BP_Adaboost的强分类器设计-公司财务预警建模
- bp-adaboost的简单例子,包括源码和数据集以及中文介绍(a simple sample of bp-adaboost)
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
adaboost
- 机器学习/python入门项目四：集成学习AdaBoost(Machine learning / python entry project four: integrated learning AdaBoost)
gentleboost
- Code of optimal threshold optimization Gentle adaboost
19107matlab自编svm
- 利用原算法adaboost弱学习器基于决策树桩的方法对样本数据进行多分类(Multi-classification of sample data based on decision tree stump using AdaBoost weak learner)