搜索资源列表
Matlab_ToolBox(MachineVision)
- 来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in computer vision, machine vision and related areas. It is a somewhat eclectic collection reflecting the author s personal interest in areas of photo
standard_svm3.00
- 标准svm3.0程序 内有mex优化程序，专业分析用(paper)-svm3.0 standard procedures within Mex optimization procedures, professional analysis (paper)
NN
- 最详尽的神经网络源码，包括最主要的三个神经网络算法：GRLVQ ， SRNG和H2MGLVQ算法，提供详细的源码和例程，三个监督基于LVQ classifieur-Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifieur Please run mexme_NN to recompile mex files on your own plateform
svm-mat
- 此为svm工具箱，附有使用说明。可以再MATLAB环境下，进行svm的应用。 注意：在Matlab环境下，编译一下。（mex -setup）；即可使用。-This is svm toolbox, with instructions. MATLAB environment can be further carried out svm applications. Note: In the Matlab environment, compile about. (Mex-setup) can be
cuSVMVCcode
- 基于GPU计算的SVM，VC++源码，包括详细文档说明文件。借用了GPU编程的优势，该代码据作者说比常规的libsvm等算法包的训练速度快13-73倍，预测速度快22-172倍。希望对大家有用-cuSVM is a software package for high-speed (Gaussian-kernelized) Support Vector Machine training and prediction that exploits the massively parallel proc
Neural-Network-Classifiers
- Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers, run mexme_NN to recompile mex files on your own plateform, run test_NN.m to run demo.
svm_box
- matlab的SVM工具箱，特别好用，把数据放入文件夹下的matlab文件夹下，打开matlab，输入1.-mex setup 2.y 3.2 4.y然后就可以通过训练样本和测试样本得出分类正确率和测试结果矩阵。-matlab SVM BOX
feature-selection-svm
- 特征选择算法，效果很好。可以解决维数高、训练样本数少的问题。-include both C version (mex-function) and Matlab version: SBSVM_c.cc SBSVM_m.m A testing case is also provided in file Speed_Comp.m
cnn_linear_max-master
- 一个简单的卷积神经网络与线性神经元。 结构:输入- >卷积- > max池- >卷积- > max池- >完全连接。 编译c++马克斯池功能首先输入“墨西哥人MaxPooling.cpp”。 数据可以在http://ai.stanford.edu/下载~ amaas /数据/ data.zip 可以在http://ufldl.stanford.edu/wiki/index.php/Using_the_MNIST_Dataset下载的数据加载函数
kdtree-realization
- K-d树实现。采用matalb和C++混合编译的方式实现。-kdtree provides a minimalistic implementation of kd-tree. The implementation can be used either inside MATLAB by means of MEX calls, or as a standalone tool, directly a C/C++ program.
swt-mex
- 笔画宽度变换的matlab与c++混合实现-Stroke width transform matlab realize mixed with c++