搜索资源列表
SvmMNIST
- 通过SVM算法识别MNIST手写数字库，并加入了一些预处理算法，包括数字图像的大小调整归一化等，效果不错。-By SVM algorithm identifies MNIST handwritten digital library and added some preprocessing algorithms, including the size of the digital image adjustment normalized so good results.
SVM-
- 支持向量机算法在MATLAB中的实现，源代码以及实例，做图像处理的希望能多多下载，谢谢！-Support vector machine algorithm in MATLAB, the source code and examples, hoping to do a lot of image processing download, thank you!
semi-supervised-SSSVM
- matlab实现的SSSVM（半监督SVM算法）-matlab achieve SSSVM (semi-supervised SVM algorithm)
svm
- SD-CVbench中支持向量机算法的实现 在KKT条件下使用对偶问题解答，简单，易懂，有良好的并行性。-SD-CVbench support vector machine algorithm used in the KKT conditions to achieve the dual questions, simple, easy to understand, there is a good parallelism.
svm
- 基于SVM的图像检索和图像分类算法，源代码程序，希望能帮到你-Image retri and image classification based on SVM algorithm, the source program, the hope can help you
SVM
- 支持向量机SVM和核函数的MATLAB程序集,用于图形处理的算法，分类算法-pca and svm use MATLAB
hikvision-PersonDet
- 海康相机开发，获取视频流，利用HOG+SVM算法进行人体检测，读取SVM训练的数据进行检测-kikvision image HOG+SVM people detection
zhichixiangliangjisuanfa(svm)
- SVM支持向量机分类训练算法的matlab实现，对正负样本的分类效果很好.-SVM support vector machine classification training algorithm matlab implementation, the positive and negative samples of the classification effect is very good..
pca_svm
- PCA+svm算法进行人脸识别，识别率在百分之80~90- Face recognition algorithm Pca+ support vector machine Recognition rate of about ninety percent, interested friends can be used as a reference
classification
- 利用opencv和C++编写一个分类程序。主要是利用opencv自带的SVM算法进行编写。-Use opencv and C++ write a classified program. Mainly using opencv SVM algorithm comes prepared.
SVM--ICA-and-PCA-and-NN
- SVM,ICA,PCA,NN等等模式识别算法,很有参考-SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value
animal_identification
- opencv/SVM算法/简单的动物识别（猫/鸟/鱼。。。）-opencv /SVM algorithm/ simple animal identification (cats/birds/fish ...)
svm
- 支持向量机算法用于图像分类的程序，实现算法并输出图像-Support vector machine
SVM
- Hog+SVM是速度和效果综合平衡性能较好的一种行人检测方法。后来，虽然很多研究人员也提出了很多改进的行人检测算法，但基本都以该算法为基础框架。因此，Hog+SVM也成为一个里程表式的算法被写入到OpenCV中。在OpenCV2.0之后的版本，都有Hog特征描述算子的API，而至于SVM，早在OpenCV1.0版本就已经集成进去了；OpenCV虽然提供了Hog和SVM的API，也提供了行人检测的sample，遗憾的是，OpenCV并没有提供样本训练的sample。这也就意味着，很多人只能用Ope
FaceRec
- 人脸表情识别matlab程序PCA+SVM算法，SVM分类-orL人脸数据库有数据有图片-Facial expression recognition matlab program PCA+SVM algorithm, SVM classification-orL face
svm--classification
- 基于支持向量机的图像分类，含有各种图像分类实例，以及最小二乘支持向量机优化算法-Image classification based on support vector machine, including various image classification examples, and least squares support vector machine optimization algorithm
fishersvm
- 可直接运行的fisher和SVM分类算法(Fisher and SVM classes that can be run directly)
Image Classification Example
- python实现用SIFT+K-MEANS+SVM图片分类(Python implementation with SIFT + K-MEANS + SVM picture classification)
SVM
- 一种基于序列上升算法的支持向量机实现，硬分割简单版(A support vector machine based on the ascending sequence algorithm, hard to split simple version)
face-Adaboost
- 用Adaboost和PCA算法实现人脸识别，用Python写的代码，根据经典的PCA和SVM算法改编(Adaboost and PCA algorithm for face recognition, code written in Python, adapted from the classic PCA and SVM algorithm)