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wwe3456
- 基于多分类器组合的笔迹验证 －－文章-Based on the composition of the classifier based on the handwriting test multiple classifiers combination of handwriting authentication -- article
recongnation
- 图像模式识别 模板匹配法 神经网络分类器 几何分类器 基于概率统计的贝叶斯分类器-image pattern recognition template matching neural network classifiers classification is based on geometric probability and statistics Bayesian classifier
fenleichengxu.rar
- 用VC++实现图像的分类识别，模板匹配分类器，Bayes分类器，线性函数分类法，非线性分类法，神经网络分类器,With VC++ Achieve image classification and recognition, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers
Class
- 分别通过模板匹配分类器、、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器对手写字进行模式分类，编写相关的程序可以参考此代码-Respectively, through template matching classifier,, Bayes classifier, a linear function of classification, non-linear classification, neural network classifiers for pattern classi
Handwritten_numeral_recognition
- 手写数字识别,分为分类程序（模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器）和聚类程序（模糊聚类、遗传算法）-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classif
fenleichengxu
- 本程序主要视图界面分两部分，左视图是训练样品设计，右视图是模式识别，可根据模式识别菜单项进行识别。分类器包括模板匹配分类器，Bayes分类器。分类法包括线性函数分类法，非线性函数分类法和神经网络分类法。-The program interface main view in two parts, the left view is the training sample design, the right view is the pattern recognition, pattern recogn
facedetect
- face detection using Harr Classifiers
Pattern-Recognition-ppt
- 介绍模式识别的基本概念，详述了贝叶斯，参数估计，线性分类器，神经网络，随机方法，无监督学习与聚类等-Introduce the basic concepts of pattern recognition, Bayesian detailed, parameter estimation, linear classifiers, neural networks, stochastic methods, unsupervised learning and clustering, etc.
haar_FACE_detction
- 用C++编写的人脸检测程序，基于ADABOOST的，里面有14级强分类器以及每层强分类器所含弱分类器的参数，附检测图片，检测效果很好- face detection program written in C++ based on ADABOOST, and there are 14 strong classifiers, and each strong classifier contains the parameters of the weak classifier, it also has t
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 classifiers together to form a
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
Haar-CASCADE
- 使用基于Haar特征的级联分类器进行分类识别-use classifiers based on Haar features for classification.
facedetection
- 实现基于opencv的人脸检测， 附带两个训练好的分类器(face detection based on Opencv , with2 good training classifiers.)
main
- 人脸检测： 第一部分，使用Harr-like特征表示人脸，使用“ 积分图”实现特征数值的快速计算; 第二部分， 使用Adaboost算法挑选出一些最能代表人脸的矩形特征( 弱分类器)，按照加权投票的方式将弱分类器构造为一个强分类器; 第三部分， 将训练得到的若干强分类器串联组成一个级联结构的层叠分类器，级联结构能有效地提高分类器的检测速度。(Face detection: In the first part, the Harr-like feature is used t