搜索资源列表
Bbayyes11111a
- Bayes分类器设计，对模式识别有一个初步的理解，能够根据据自己的设计对贝叶斯决策理论算法有一个深刻地认识 已通过测试。 -Bayes classifier design, a preliminary understanding of pattern recognition, and a profound understanding that has been tested according to according to their own design on Bayesian deci
BBayyesClasssa
- 贝叶斯分类器，bayesian classifier，贝叶斯斯分类器，bayesian classifier 已通过测试。 -Bayesian classifier, Bayesian, the classifier the Bayeux MEP classification, bayesian classifier has passed the test.
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 been operating instructions when
Pbayesfenleiqa
- 模式识别--VISUAL C++环境下编写的贝叶斯分类器（bayes）,值得收藏-Mode identification- VISUAL C++ environment prepared by the Bayesian classifier (bayes) worth collecting
Nnaive_bayesa
- 朴素贝叶斯分类器，用C++实实现的基于朴素贝叶斯算法的分类器 -Naive Bayesian classifier, the classifier based on the Naive Bayes algorithm to achieve C++ real
front
- 一个用于人脸检测的分类器，对正面人脸具备较好的检测效果-A classifier for face detection have better detection results on the frontal face
saaddaboosto
- adaboost分类器源代码addaboost人脸检测matlab算法 -the adaboost classifier source code addaboost face detection matlab algorithm
VSVMDecisionM
- VM分类器通常具有较高的分类精度。我这里不想过多的去说SVM是怎么回事，，只是提供一种使用SVM进行判别的方法。决策树与SVM的结合，可以分多类。 -VM classifier usually has high classification accuracy. I do not want too much to say that SVM is how, just a SVM is used to discriminate. Combination of decision tree and S
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 Adaboost algorithm i
FaceDetect
- 这是一个人脸检测程序，里面有分类器的说明，运行结果还可以。-This is a face detection program, there is a descr iption of the classifier, the results can also be run.
jKNNNSOURCECCa
- java 实现KNN文件分类器的源码javva 实现KNN文件分类器的源码 -java source javva KNN classification of documents to achieve the source code of the KNN classification of documents
openpr-ldf_v0.10
- 基于朴素贝叶斯算法的分类器，代码清晰易懂-Naive Bayes classifier algorithm, code lucid
BBP--nnnP
- BP神经网络分类器程序源码有两种运行状态，一个是学习，另外一个是分类。在学习状态下，在Dos命令符下输入bp learn，便开始学习了，学习的结果放在weight.dat中；在工作状态下，在Dos命令令符下下输入bp work，便开始识别classfyme.dat中的数据了，识别完成后，结果放在results.dat中。在bp运行的任何一种状态下，都不能手工打开Weight.dat、Sample.d -BP neural network classifier program source c
B11912873naiva
- 贝叶斯网络分类器的一点小程序，也也许有用，请各位资源下载可直接使用。 -Bayesian network classifier little program, also may be useful, please Download can be used directly.
TBayessh
- 代码软件包是一个基于贝叶斯分类器的分类程序，包括数数据集，运行该程序可以是一个,可以直接使用。 -Code package is based on a Bayesian classifier program, including the number of data sets, run the program, you can directly use.
wavelet-transform-using-knn
- 基于双低频小波变换和k近邻分类器的人脸识别算法源程序-Dual low frequency wavelet transform and k-nearest neighbor classifier based face recognition algorithm source
Tppcca-svmh
- 本程序源码用于对训练样本提取独立主元，作为样本特征，并送入SVM分类器中训练图像的预处理中不取对对数，也无须做幅度归一，由ICA的应用条件决定的。预处理后的图像以向量的形式按行排列 可直接使用。 -The program source for independent main training samples extracted as sample characteristics, and fed into the SVM classifier training image preproce
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.
SpeakerRecognitionsystem_mfcc
- 说话人识别的一个完整例子，包括分帧、特征提取（MFCC）、分类器（矢量量化VQ），训练阶段和识别阶段分为两个函数，包含样本语音文件，设置好路径，点击main函数即可直接运行。-A complete example of speaker recognition, including framing, feature extraction (MFCC), classification (vector quantization VQ) training phase and recognition ph
bp-adaboost
- 基分类器为bp，用adaboost方法生成的分类器的程序-Base classifier bp, generated using adaboost method classifier