资源列表
knn1
- knn算法的实现 在一定程度上减少了算法的时间复杂性和空间复杂性 但此代码也存在着一些不足，比如容错性不是很好-knn Algorithm In some degree,the complexity of room and time decrease greatly.but there are also some disadvantages，e.g.the case of error is not be considered.
cSharp-matrix-operation
- 矩阵加，减，乘，除等各种运算，非常好用,现成的，非常方便。-Matrix addition, subtraction, multiplication, and other operations, very easy to use, ready to use, very convenient.
matlab-design
- 阈值分割技术的关键在于阈值的确定，只有阈值确定好了才能有效的划分物体与背景，但这种方法只对于那些灰度分布明显，背景与物体差别大的图像的分割效果才明显。-Threshold segmentation technique lies in the determination of the threshold, only the threshold determination to the effective division of the object and the background, but
fft
- fast fourier transform using matlab
plot_hht
- Hilbert Huang Transform
第 26 章 基于最小误差法的胸片分割系统
- MATLAB计算机视觉与深度学习实战-运行代码 源代码第26章 基于最小误差法的胸片分割系统(MATLAB computer vision and deep learning - running code,Chest slice segmentation system based on minimum error method)
exprony_ma
- 求取系统特征模态,以及参数辨识使用。采用扩展的prony算法。-eigen value dentification
test_images
- test images for experimentation on cells for classification.
adaptivePboostingPATR
- 一片详细介绍adaboost进行目标识别的文章。采用MSTAR数据库作为数据来源，非常经典的adaboost实现-A detailed article adaboost target recognition. MSTAR database as the data source used, to achieve a very classic adaboost
simulated-annealing-algorithm
- 模拟退火算法及MATLAB程序代码,包含算法pdf文档，PPT讲义和M文件。-Simulated annealing algorithm and MATLAB code that contains the algorithm pdf documents, PPT handouts and M files.
4-2
- 清华大学数据结构课程第四次作业第二题，很棒的解法。-Tsinghua data structure course fourth operation the second question, a great solution.
PRRR
- 文件包含了基于监督局部线性嵌入的玉米田间杂草识别案例分析-File contains the corn field weed recognition based on supervision of locally linear embedding case analysis