资源列表
Face-Detection
- 在机器学习中，使用伽柏特征提取和神经网络来进行人脸检测。 -Face Detection using Gabor feature extraction and Neural Network
UKF
- 无迹卡尔曼滤波，适用于解决非线性机动目标的跟踪问题-Unscented Kalman filter, suitable for solving nonlinear maneuvering target tracking problem
SECD
- FORTRAN77，在计算流体力学中，坐标变换时，度量系数的数值解比解析解精度更高，此为两种方法的对比。-The FORTRAN77 language, in CFD, when the coordinate transformation coefficient metric numerical solution is higher than the accuracy of analytical solution, this is a comparison of the two methods.
SVM-RFE-CBR-v1.3
- 在生物信息学中，SVM-RFE是一个强大的特征选择算法。这是一个不错的选择以避免过度拟合特性高的数量。-SVM-RFE is a powerful feature selection algorithm in bioinformatics. It is a good choice to avoid overfitting when the number of features is high.
coordination-transfer
- 里面包含5个坐标转换的算法，包括NUE与极坐标，GEO坐标与ECEF坐标之间的转换算法-Which contains five coordinate transformation algorithm, including NUE and polar coordinates, GEO coordinates and ECEF coordinates between the conversion algorithm
DANZHANsarBP
- 基于合成孔径雷达sar单站式的成像仿真BP算法-Monostatic SAR imaging simulation rd algorithm
IMMPF
- 交互式粒子滤波，用于解决不明确知道机动目标运动状态的目标跟踪问题-Interactive particle filtering for solving target tracking problems that do not explicitly know the state of motion of maneuvering targets
SECDBL
- fortran77编写，计算流体力学中有限差分法的结构网格中涉及边界条件的网格拉伸变换的几个程序。-Prepared fortran77, CFD finite difference grid mesh structures involving drawing several boundary conditions of the program transformation.
pftpe
- fortran编写的解二维椭圆方程程序，周期性边界条件，快速傅立叶变换和解三对角矩阵。-Solutions of two-dimensional elliptic equation written in Fortran program, periodic boundary conditions, a fast Fourier Transform and tridiagonal matrices.
psncs.f
- fortran 77，解二维压力Poisson方程，余弦快速傅立叶变换，三对角矩阵，第一类边界条件。-fortran 77, the pressure-dimensional Poisson equation solution, cosine fast Fourier transform, tridiagonal matrix, the first boundary condition.
truss_on_matlab_new_stress
- 基于应力比法的三杆桁架结构优化实现，有限元分析调用ANSYS，使用时需修改相关文件路径。-optimization of truss structure based on stress ratio method
lbp人脸识别
- 这是一个基于LBP算法的，用来识别yale数据库的完整程序