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fingerthinning
用matlab实现了对指纹图像的细化处理，其中包括所有源代码，可以直接运行。(Refinement of the fingerprint image processing using matlab, including all source code can be run directly.)
- 2012-05-19 09:39:33下载
- 积分：1
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5.02210-SitePGrading
These are som documents about the Civil works.
For more information, pls. contact me.
- 2014-07-17 18:23:29下载
- 积分：1
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2016.09.08GWO
本代码描述的是有关灰狼算法的研究，这个代码有详细的内容说明与简介，网络上的代码普遍有错误，本人将所有的代码全部实现并改正了错误。供大家学习参考(This code describes the research on the gray wolf algorithm. This code has detailed description and introduction. The code on the network is generally wrong. I have implemented all the code and corrected the error. For everyone to learn reference)
- 2020-11-21 22:19:36下载
- 积分：1
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jiyudizhitongjiDEMdedixingfenxi
针对DEM的建模问题，将高程看作区域化变量，应用地质统计学中普通克里格研究了一个山区高程空间变异分析及其插值。(DEM for modeling will be seen as a regionalized variable elevation, application of ordinary kriging in geostatistics research a mountain elevation spatial variability analysis and interpolation.)
- 2008-04-03 16:41:42下载
- 积分：1
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Three
自己写的一个 在matlab环境中计算光学三反镜头初始结构的程序 带有界面(Wrote it myself, one in the matlab environment, computing optical three anti-lens with an interface for the initial structure of the program)
- 2009-12-14 17:38:46下载
- 积分：1
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ml_SFBC
Maximum Likelihood Decoding
- 2014-01-06 17:42:08下载
- 积分：1
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ga_estimation
遗传算法估计参数
模型y=a1+a2*exp(-t)
参数a1,a2∈[0,10]
(Parametric estimation of model
y=a1+a2*exp(-t))
- 2009-11-14 00:01:32下载
- 积分：1
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Entropy
Calculate the histogram and the entropy of any image. The entropy is calculated using different methods.
- 2010-11-02 02:43:55下载
- 积分：1
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poik
a=qr concept explained
- 2010-05-06 17:51:48下载
- 积分：1
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kmeans
function [L,C] = kmeans(X,k)
KMEANS Cluster multivariate data using the k-means++ algorithm.
[L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class
label per column in X and a size(X,1)-by-k matrix C containing the
centers corresponding to each class.
Version: 07/08/11
Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be)
References:
[1] J. B. MacQueen, "Some Methods for Classification and Analysis of
MultiVariate Observations", in Proc. of the fifth Berkeley
Symposium on Mathematical Statistics and Probability, L. M. L. Cam
and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297.
[2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of
Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.
- 2011-12-22 19:38:16下载
- 积分：1
