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How-to-train-their-classifier-OpenCV
- matlab图像特征识别。分类器的训练方法。很好的学习资料。如何用OpenCV训练自己的分类器。内含人脸库共训练器使用-matlab image feature recognition. Classifier training methods. Good learning materials. How to use OpenCV train their own classification. Training face database containing a total of uses
code
- 利用最小距离分类器分类3种尾植物的完整实现代码-Minimum distance classifier using three kinds of classification of plants complete the end of the implementation code
zuoye1
- 用FEMALE.TXT和MALE.TXT的数据作为训练样本集，建立Bayes分类器，用测试样本数据对该分类器进行测试。-With the older MALE. TXT. TXT and data as the training sample set, establish Bayes classifier, test sample data with the classifier for testing.
zuoye2
- 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。-At the same time the height and weight data as features, Fisher with linear identifying method for classifier, will this classifier appl
Bayes_classyer
- Bayes分类器，C++实现。2个文件，最简单的实现贝叶斯-Bayes classifier, C++ implementation. 2 files, the simplest realization of Bayesian
headCountCode
- 采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行-Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the
FacerecognizeAlgorithm
- 采用Haar分类器进行人脸识别的VC软件，给出源代码了-Haar classifier for face recognition using the VC software, source code is given
BAYES
- 有几类样本点，利用BAYES分类器求出其分界面，并分析这类分类器的特点。-There are several types of sample points, using BAYES classifier obtained its sub-interface, and analyze the characteristics of such classification.
PCA
- 用pca分类器将Iris数据分开，并分析pca分类器的特点-Classifier with the Iris data pca separate and analyze the characteristics of classification pca
Speakerrecognitionbased-on-MFCC
- 这是一篇工学硕士论文，主要说关于说话人语音识别，，以支持向量机为分类器，分别以MFCC和IM-FCC为特征单独执行分类，将得到结果按某种方式融合，取两者之长，最后做出判决来提高说话人识别系统的性能。-Speaker recognition is a kind of technology that take the use of the information contained in the speech signal to identify who is the speaker or to
people2d.tar
- 根据测距仪数据提取人体的代码。使用ada-boost分类器实现。同时包含matlab的实现，在linux下GCC编译。 作者：Luciano Spinello-People2D provides an efficient implementation of the people detector in 2D data originally developed in Human Detection using Multimodal and Multidimensional Features (
beiyesifenleiqi
- 程序是基于贝叶斯最小错误率的分类器的设计，真确率达到98 ，学习模式识别的很好的程序-Program is based on the Bayes minimum error rate classifier design, true rate of 98 , a good learning pattern recognition program
bayeclassif--presuo-data
- 掌握利用贝叶斯公式进行设计分类器的方法。分别做出协方差相同和不同两种情况下的判别分类边界-Master the use of Bayes classifier design methods. Covariance were made in both cases the same and different classification of the discriminant boundary
Bayes
- 朴素的贝叶斯分类器，原理很简单，性能还不错-Naive Bayesian classifier, the principle is very simple, good performance
IrisDC06
- 分类是数据挖掘 、机器学习 和模式识别 中一个重要的研究领域。分类的目的是学会一个分类模型 (称作分类器)，该模型能把未知类别的数据项映射到给定类别中。目前发展较成熟的几种分类算法 如决策树、神经网络、贝叶斯方法、遗传算法等。分类具有广泛的应用，例如医学诊断、信用卡系统的信用分级、图像模式识别等。本毕业设计通过使用鸢尾属植物(IRIS)数据集，对当前数据挖掘中具有代表性的优秀分类算法进行分析和比较，总结出了各种算法的特性，为使用者选择算法或研究者改进算法提供了依据。-Classificatio
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
fisherclassify
- 本程序主要是实现fisher线性分类器的功能，主要应用于隐写分析中的分类情形。-fisher linear classifier
HOG
- 该代码用于各种图像的HOG特征提取，以进一步训练分类器进行行人检测，不错的-HOG for a variety of image feature extraction, in order to further training classifier Pedestrian Detection
SVM
- svm神经网络中的参数优化---提升分类器性能-svm parameters of neural network classifiers to enhance the performance optimization---
SVM
- 基于SVM的分类器，它像多沉感知器一样，可以用于模式分类和多层回归！-Based on SVM classifier, it more like heavy perceptron as, can used for pattern classification and multi-layer return!