搜索资源列表
边缘检测算法
- 该工具箱专为模式识别定制，主要是数字图像识别，比如特征提取、图像分类、PCA、LDA、ICA、DCT、RBF、RBE、GRNN、KNN、minimum distance、SVM等等
Image-Classification
- 对SVM多类分类算法进行了研究，总结了不同分类算法的优缺点。接下来本文提出了基于GA(遗传算法)和KNN(K近邻)的SVM多类分类算法-The SVM multi-class classification algorithms studied, summed up the advantages and disadvantages of different classification algorithms. The next paper, based on GA (genetic algorit
bi-ji-shi-bie
- 采用“纹理识别”的方式进行笔迹鉴别，利用Gabor变换提取不同频率、不同方向的笔迹特征，最后使用KNN或SVM（支持向量机）对待测样本进行类别判别。-A " texture recognition" approach to handwriting identification using Gabor transform to extract different frequency, the handwriting characteristics of different dir
pca_knn
- 本方法采用pca进行特征提取，knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
kmeans_svm_image_segmentation
- svm 图像分割 用kmeans得到两类分割的图，在显示的图像中用鼠标取点得到2*num个坐标位置的二维向量，前num个为正样本，后num各为负样本-image segmentation
TextClassify-KNN-SVM
- 根据语料库对文本进行分类，有界面，KNN、贝叶斯方法-According to the corpus, text classification KNN, bayesian
FaceRec_Final
- 5-fold cross valication for Face recognition using PCA, SVM and KNN.
123
- 手写字符识别，使用svm 支持向量机和 knn最近邻分类器-Handwritten character recognition using svm SVM and knn nearest neighbor classifier
Neural-Network
- This folder contains the following sub-folders which are essential in our project: 1.Raw Data All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St. 2.Filter Filter to rule out signal of Channel
CLBP
- 利用完整局部二值模式（CLBP）特征提取方法，svm和knn分类器分类进行表情识别的matlab程序源码。并且附有CLBP论文-With a complete local binary pattern (LBP) feature extraction method, svm classifier classification and knn expression recognition matlab program source code. And paper with CLBP
face_shibie
- 使用了两种方法实现人脸识别：hog+svm，KNN(Two methods are used to implement face recognition: hog+svm, KNN)