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lec3
- The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xampl
2016.09.09Firefly
- 以优化SVM算法的参数c和g为例，对FA（萤火虫算法）MATLAB源码进行了逐行中文注解。是很好的学习材料。- SVM algorithm to optimize the parameters c and g as an example, FA (firefly algorithm) MATLAB source was progressive Chinese annotations. It is a good learning materials.
code
- 人脸识别 FA和BP网络的预测 LVQ神经网络的预测——人脸识别 SVM分类与回归 Elman神经网络预测-Face recognition, FA and BP network prediction, LVQ neural network prediction- face recognition, SVM classification and regression, Elman neural network prediction
FA
- 使用SVM算法进行分类，其中采用萤火虫算法进行SVM参数的优化。(SVM algorithm is used for classification, which uses the firefly algorithm to optimize the SVM parameters.)
2016.09.05CS_PSO
- 以优化SVM算法的参数c和g为例，对FA（萤火虫算法）MATLAB源码进行了逐行中文注解。(The firefly algorithm is based on the development of the bioluminescent biological characteristics of the natural world and is also based on the stochastic optimization algorithm of the population. There
fa(4)
- 基于码本（codebook）的背景建模的背景差分法+级联基于LBK或haar的adaboost和基于hog的svm分类器+快速hough圆变换进行人头识别+基于区域特征的目标跟踪算法。(编程)(Background modeling based on codebook (codebook) background difference method + cascade based on LBK or Haar AdaBoost and hog based SVM Classifier + fast
FA
- 以优化SVM参数c和g为例，对FA算法MATLAB源码进行了详细中文注解，是很好的学习材料(Taking the optimization of SVM parameters c and G as examples, the source code of FA algorithm MATLAB is annotated in detail in Chinese, which is a good learning material.)