搜索资源列表
OHaarTrainingP
- OPENCV训练过程的说明文档，在样本创建；训练分类器；利用训练器进行目标检测测作了操作说明源程序在安装OPENCV时，自带apps\HaarTraining -Documentation of the OPENCV training process, created in the sample train classifiers trainer for target detection measurements have be
VideoSnapCcut
- 经典的视频跟踪处理算法文章Video Snapcut.已经被应用于CS5.-Video SnapCut: Robust Video Object Cutout Using Localized Classifiers
AsimpleABdemod
- Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weakerifier)通过一定的方法叠加(boost)起来，构成一个分类能力很强的强分类器眼eClassifier)，再将将若干个强分类器串联成为分级分类器(ClassifierCaseade)图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器成为强分类器，再将强分类器串联成为分级分类器。 -The basic idea of R
Discriminativemodelsformulticlasobject
- Many state-of-the-art approaches for object recognition reduce the problem to a 0-1 classifi cation task. Such re- ductions allow one to leverage sophisticated classifi ers for learning. These models are
evaluation
- Evaluates classifiers with cross validation
Face-Recognition
- 这是一个实现人脸检测的程序，里面有几种人脸检测的分类器。-This is a face detection program, there are several classifiers for face detection.
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 c
face_recognition_adaBoost_M2
- face recognition is done here for a dataset by sequence of series of images and weak classifiers are trained to get back strong classifier
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.
Bayesian-Classify
- 基于贝叶斯网络的分类器实现，使用C++编写，不错，可以参考-Based on Bayesian network classifiers achieve C++ writing, yes, you can reference
svm_smo
- SVM SMO 多分类的c++源码，自己编的，可以运行-SVM SMO multiple classifiers c++ of source code, own series, you can run
Adaboost
- 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)。-Adaboost is an iterative algorithm, its core idea is different classifications for the same training set (weak classifiers), then these weak
bijishibie
- 基于纹理分析笔迹鉴别系统的设计与实现,文中从笔迹图像预处理、特征提取、分类器以及分类器组合等方而展开研究，设计和实现了一个基于文本独立的离线手写体笔迹鉴别系统软件.-Design and Implementation of the writer identification system based on texture analysis, the paper from the handwriting image preprocessi
shouxieshuzi
- 里面包含了手写数字识别代码，有PCA特征提取，FSVM分类器识别，是很好的学习资源-Which contains a handwritten digital identification code, PCA feature extraction, FSVM classifiers recognition, is a good learning resource
haarconv
- haarconv.cpp : used to conver haar classifiers into .xml format
Matlab_codes-(1)
- Its about classifiers ..its very important for fcae recognication.
adaboost
- daboost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)。-daboost is an iterative algorithm, the core idea is the same training set different classifiers (weak classifiers), and then these weak class
classification
- 机器学习中几种典型的分类算法，SVM, ML, Gaussian Mixture Model等-typical classifiers(SVM, ML) in ,machine learning.
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
- introduction of classifier, introducing some basic concepts before practice classify -introduction of classifier, introducing some basic concepts before practice classify