搜索资源列表
OpenCV
- 比较齐全的OpenCV参考手册-relatively complete reference manual OpenCV
svm_with_workset
- 本程序为一SVM训练程序，利用了workset可以训练大数据量样本。在workset中优化的过程中利用了SMO算法。-SVM training for a procedure, and use of WorkSet can train a large number of data samples. WorkSet were in the process of optimizing the use of the SMO algorithm
svm-train
- 支持向量机算法训练部分，主要是针对大规模对象进行训练-Support Vector Machine training component, is mainly directed against the target of large-scale training
svm
- svm is a classifier.SUPPORT VECTOR MACHINE is used for train and classify new datas based on training
incrementsvm
- 实现增量SVM算法，通过对因子的选择增量式的来训练SVM，大大加快了SVM算法的训练速度-To achieve incremental SVM algorithm, through the choice of factors Incremental to train SVM, greatly accelerated the speed of SVM training algorithm. .
svm_rank.tar
- Learning to Rank的一个方法，把排序问题转换成了一个分类问题，然后用支持向量机（SVM）训练出一个模型来。-Learning to Rank of a way to sort problem is transformed into a classification problem, and then use support vector machine (SVM) to train a model.
gridsearch
- 这是一个libsvm grid的改进,除了可以搜索分类中的C和gamma,还可以搜索小的整数.-This file is a slight modification of grid.py of libsvm. In addition to parameters C, gamma in classification, it searches for epsilon as well. Usage: grid.py [-log2c
SVM_FACE
- 基于支持向量机的人脸检测训练集增强算法实现。根据支持向量机(support vector machine，简称SVM)~ ，对基于边界的分类算"~(geometric approach)~ 言，类别边界附近的样本通常比其他样本包含有更多的分类信息．基于这一基本思路，以人脸检测问题为例．探讨了 对给定训练样本集进行边界增强的问题，并为此而提出了一种基于支持向量机和改进的非线性精简集算法 IRS(improved reduced
svm
- SVM的源码，包括svm-train svm-toy，用C写的 -SVM' s source code, including the svm-train svm-toy, written with C
K-Fold_CV_Tool
- MATLAB cross-validation tool for classification and regression v0.1 FEATURES: + K-fold cross validation. + Arbitrary train and prediction functions with parameters can be used. + Arbitrary loss function
train
- 进行svm分类器的训练，作为人脸检测的人脸分类器-For svm classifier training as face detection face classifier
SVM-MT
- 基于libSVM-v310的完全多线程化libSVM，仅读写文件在框架内无法优化。svm-predict不需要openmp支持，svm-train需要打开openmp支持。VS2008编译。修改MAX_THREAD可以调整svm-predict线程数。-A fully multi-thread optimized libSVM based on libsvm-3.10. svm-predict won t need openmp how
svm-train
- emd分解，近似阈的信号svm检测和训练-training of svm
HOG-SVM-train
- HOG+SVM对于正负样本训练过程，根据样本生产对应的支持向量机，便于人体检测-HOG，SVM train samples，support Vector
SVM
- 运用SVM训练分类,并给出标准化以及网络搜索方法确定SVM各参数(use SVM to train and classify samples)
svmtrain
- 该算法主要用于实现数值的训练与测试，给定一些训练样本训练，然后对测试样本进行验证(The algorithm is mainly used to train and test the numerical values, to train some training samples, and then to verify the test samples)
SVM
- 该算法用Visual Studio编写 ，用于实现对样本的训练以及测试，并可以转换成matlab语言，直接调用子程序(The algorithm is written in Visual Studio, which is used to train and test the sample, and can be converted into a matlab language and directly invoked the subro
PCA+SVM
- 采用经典的ORL人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
libSVM
- 利用LibSVM以及SVM模型进行文本数据分类。训练数据与测试数据都有。(Using LibSVM and SVM model to classify text data. Both the training data and the test data are available.)
CNN-SVM
- 运用卷积神经网络来提取图片的特征值并用SVM做出分类(using CNN And SVM to train my pictures.)