搜索资源列表
Hllesvmrbf
- lle和svm 的人脸识别算法代码，识别率可以打到80以上。
FaceRecEvaluator
- 人脸识别算法matlab代码，可以实现，如PCA,ICA，SVM,LDA等-Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA
generalBT
- SVM是一种比较新比较流行的算法，常常用在分类问题和回归问题上。 libsvm相关的matlab代码-SVM is a relatively new algorithm is more popular, often used in classification and regression issues. libsvm-related matlab code
lle
- lle和svm 的人脸识别算法代码，识别率可以打到80以上。-lle and SVM for face recognition algorithm code, the recognition rate can reach 80 or more.
hlle
- lle和svm 的人脸识别算法代码，识别率可以打到80以上。-lle and SVM for face recognition algorithm code, the recognition rate can reach 80 or more.
SVMmatlab_coding
- 支持向量机代码 用于分类 识别算法开发语言 matlab-svm coding
Nonlinear-SVM-classifier-design
- 模式识别领域非线性SVM分类器设计原理，代码及过程-Pattern recognition domain nonlinear SVM classifier.experimental design principle, the code and process
SVM
- SVM的C语言实现代码，可以直接移植到自己的工程中。-SVM' s C language code can be directly transplanted into their own works.
svmclassiferanddata
- SVM实现的matlab语言代码的应用版本，可以直接使用。-The SVM implementation matlab version of the application of the language code can be used directly.
svm-coder
- 适合svm的初学者，通过本代码的练习，可以使初学者对c-svm进行分类有一个感性认识。-Svm suitable for beginners, through this code of practice, you can make beginners c-svm classification has a perceptual knowledge.
PCAPSVM
- 使用pca+svm进行人脸识别的代码，很详细-detailed code for face recognition using pca+svm
PCAPSVM
- 基于pac的svm的MATLAB代码，可进行人脸识别，正确率较高-Pac of svm based MATLAB code, can be face recognition, high accuracy
Face-recognition
- 基于SVM的人脸识别，识别率很高的，MATLAB代码，已验证完毕-SVM-based face recognition, recognition rate high, MATLAB code, has completed verification
RecognitionUsingLibsvm
- 手写字体识别有着广泛的应用，本代码是基于SVM的手写字体识别-Handwriting recognition has been widely used, the code is based on handwriting recognition SVM
SVM
- 用简单的代码实现了SVM,其中包括了线性、非线性以及多种kernel。(SVM is implemented with simple code, including linear, nonlinear, and a variety of kernel.)
14.SVM(代码)
- 用SVM在python平台实现手写数字的识别(using the algorithm of SVM to recognition of handwritten numerals on python)
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)
NumberPlateRecognition
- 基于SVM和神经网络的车牌识别，采用C++代码实现(Car Plate Recognition)