资源列表
FloatBoost
- 对数据进行归类。把数据按照不同的属性进行归类，并且使归类的精确度越高越好。(Classify data. Classify data according to different attributes, and make the accuracy of classification better.)
MultiBoost
- 对多个数据进行归类。把数据按照不同的属性进行归类，并且使归类的精确度越高越好。(Classify multiple data. Classify data according to different attributes, and make the accuracy of classification better.)
RealBoost
- 实时数据进行归类。把数据按照不同的属性进行归类，并且使归类的精确度越高越好。(Real time data is classified. Classify data according to different attributes, and make the accuracy of classification better.)
KCFTest
- KCF是一种鉴别式追踪方法，这类方法一般都是在追踪过程中训练一个目标检测器，使用目标检测器去检测下一帧预测位置是否是目标，然后再使用新检测结果去更新训练集进而更新目标检测器。而在训练目标检测器时一般选取目标区域为正样本，目标的周围区域为负样本，当然越靠近目标的区域为正样本的可能性越大。(KCF is a novel tracking framework that utilizes properties of circulant matrix to enhance the processing s
mi.0.912
- 该算法用mrmr对支持向量机进行分类 简洁明了 用以理解(The algorithm uses mrmr to classify the support vector machine for simplicity)
danchun-java
- 用java语言实现运筹学线性规划，有很强的通用性，实用性，算法可参考《算法导论》一书，配套学习。(Using java language to achieve operations research linear programming, has a strong versatility, practicality, algorithms can refer to "Introduction to Algorithms" book, supporting learning.)
prob_psq
- Probabilistic perfect square detection with libgmp
tiny_cnn
- Tiny_cnn是一个简洁的纯C++11实现的深度学习框架，本人用的是VS2013+opencv2.4.13。用自己的数据训练和测试tiny_cnn,只需自己准备好训练数据train与测试数据val0\val1。把训练图像放到一个文件夹下，如文件夹train，把所有的图像直接批量重命名，但要保证每一类图像是连续存放的。(Train and test tiny_cnn with your own data)
icpCpp
- ICP算法是实现多幅点云配准，配准效果好，精度高。(ICP algorithm is to achieve a number of point cloud registration, registration effect is good, high precision.)
81404593matlab-svm
- 主要讲述svm神经网络分类，使用matlab实现(Mainly about SVM neural network classification)
PSO
- 粒子群算法（PSO）算法的简单实现，用于寻找函数最小值。该代码适合于PSO 算法初学者进行深刻理解。(Simple implement of PSO algorithm that will help the person who is new learn PSO algorithm)
计算lorenz李雅普洛夫指数
- 计算lorenz混沌时间序列的李雅普洛夫指数，程序简单明了，注释清晰。(Calculate the Lorenz Lyapunov exponent)