资源列表
Class_9_Code
- 该文件时本人学习遗传算法是 时自己编写的程序代码，适合初学者使用-This file is when I learn to write your own genetic algorithm to optimize neural network procedures, hope that is useful for beginners.
codes
- RBF neural network input node selection method
JRACS
- 基于分割的目标跟踪算法，效果很好，有注释，-Target tracking algorithm based on segmentation, the effect is very good, have a comment,
Modified_Mean_Shift_Tracking
- 尺度方向自适应经典目标跟踪算法，效果很好，有注释，-Scale classical direction adaptive target tracking algorithm, the effect is very good, notes,
CBWH_IET_Computer-Vision
- 经典的目标跟踪算法，基于背景加权，效果很好，有注释，很实用-Classic target tracking algorithm based on the weighted background, the effect is very good, with notes, it is practical
teacher-and-learn
- 教与学优化算法，和结合粒子群算法、遗传算法比较，该算法效果更好，迭代次数少-Teaching and learning optimization algorithm, and combining particle swarm optimization, genetic algorithm, the algorithm is better, fewer iterations
monituohuo_kmeans
- 利用模拟退火算法改进的kmeans算法，可以实现分类也可以用来分割，matlab版本-Improved simulated annealing algorithm kmeans algorithm can also be used to classify segmentation, matlab version
MOD
- MOD算法是经典的字典学习算法，他能适应各种信号如图像、声音、机床振动等的稀疏表示-MOD algorithm is the classic dictionary learning algorithm, he can adapt to a variety of signals, such as sparse image, sound, vibration or the like, said machine tool
libsvm-3.1
- LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it implements an SMO-ty
libsvm-3.22
- libsvm-3.22.rar LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM). It supports multi-class classification. Since version 2.8, it impl
svmtrain
- Introduction This tool provides a simple interface to LIBSVM, a library for support vector machines (http://www.csie.ntu.edu.tw/~cjlin/libsvm). It is very easy to use as the usage and the way of specifying parameters are the same as that
LDA
- 里面包含了三位老师写的LDA代码，以及中文文档解释LDA的推导，对学习LDA很有帮助-it contains LDA code and documents which writing by three teachers , expecially the Chinese documentation explains the derivation of LDA, which is very helpful