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lineFisherClassify
- *Fisher.C *recognition of handwritten numerals with Fishier Linear Classifier */ /* *说明:一个数字16X16像素,每个像素是灰度值, *归一化为-1到1的双精度浮点数
Classification
- 模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classification, neural network classificat
PatternRecognition
- 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字,包括临时手写的数字,也包括图片中的数字 -Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
threshold_tr
- Training of the basic linear classifier where seperation hyperplane is perpedicular to one dimension.-TRAINING THRESHOLD CLASSIFIER
linearClassifier
- 模式识别基础算法-线性分类器的源代码 有自动生成分类器和手工绘制分类器两种模式 附测试图片-Based pattern recognition algorithm- linear classifier with automatic source code generation classifier and two modes of hand-drawn classification test image attached
matlab
- 模式识别中的线性分类器的设计,包括感知机,最小二乘法和支撑矢量机的算法的MATLAB代码。-Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code.
GimagepatterclassfiyVC
- 成功完成了模式识别的监督和非监督方法包括:Fisher线性分类器,分级聚类算法等经典算法,程序易懂。-Successfully completed the supervision and unsupervised pattern recognition methods include: Fisher linear classifier, hierarchical clustering algorithms such as classical algorithm, the program easy
simplecharrec(III)-update
- 模式识图像处理,用线性分类器实现,判别分类标准-Pattern recognition image processing, linear classifier achieved, identification and classification standards
zonghe
- 线性分类器设计:包括感知机算法,最小二乘法,线性SVM算法(模式识别作业)-Linear classifier design: including perceptron algorithm, least squares, linear SVM algorithm( pattern recognition task)
Perceptron
- 线性分类器之感知器算法,将两种类型的二维数据实现线性分类-The linear classifier perceptron algorithm, the two types of 2 d data realize linear classification
Linear-classifier-design
- 对“data1.m”数据,分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器,分别画出决策面,并比较性能。-The "data1.m" data, respectively, using the perceptron algorithm, the least square error algorithm, the linear SVM algorithm design classifier, respectively, to draw the decision-making surf
Pattern-Recognition_MATLAB_1
- 线性分类器设计,1_k近邻法,剪辑法,ANN-BP神经网络法,聚类分析法,特征选择,特征提取等模式识别常用算法,内有matlab可运行实现,还有word文档的说明。对于学习,是做好的资料。-Commonly used algorithm for linear classifier design the 1_k nearest neighbor, clip, ANN-BP neural network method, cluster analysis, feature selection, fea
Untitled
- 对采集样本进行模式识别与线性分类器的设计-To collect samples for pattern recognition and a linear classifier design
liblinear-1.92.tar
- 经典随机梯度下降SVM,一个简单易读的线性分类器代码,执行速度快,分类准确率也不错,适用于大规模图像分类。-The classic stochastic gradient descent SVM, a linear classifier code easier to read, faster execution speed, good classification accuracy, suitable for large-scale image classification.
Scene-Classification
- 提供了三类场景“bedroom”、“CALsuburb”、“industrial”的样本特征集以及原始图像,分别用线性分类器、树状分类器、SVM分类器以及AdaBoost分类器对其进行区分。其中AdaBoost分类器有部分内容调用了Vezhnevets Alexander编写的源码-Provides three types of scenes " bedroom" , " CALsuburb" , " industrial" sample fea
matlab-face-recognition
- 基于PCA和FLD的人脸识别的线性分类器-Face recognition based on PCA and FLD linear classifier
fenleiqi23
- 这个程序是在matlab2013b软件上运行成功,有需要的可以下载下来参考下,程序的内容为用MATLAB做的Fisher线性分类器,处理脑电信号,数据为bci竞赛数据-This program is run on matlab2013b software successfully, there is need to download the reference, the contents of the program is done using MATLAB Fisher linear clas
linear-classifier--Fisher
- 已知有两类数据,二者的概率已知,根据所得结果,判断属于哪个类别,并画出数据分类相应的结果图,画出其在W上的投影。-There are known two types of data, the probability of both the known, according to the results to determine which category belongs, and the corresponding results shown in Fig data classificatio
tuxiangfenge
- 自适应阈值的图像分割,采用的是线性分类器相关知识-Adaptive threshold segmentation, using a linear classifier knowledge
xianxingfenleiqi
- 使用线性分类器,实现手写数字0-9识别。-Using a linear classifier, 0-9 handwriting recognition.