-
Fast_Global_Minimization_Active_Contour
Author: Xavier Bresson (% Last version: Aug 3, 2008
% For more information: X. Bresson and T.F. Chan, "Fast Minimization of the Vectorial Total Variation Norm and Applications to Color Image
Processing", CAM Report 07-25(Author: Xavier Bresson ( Last version: Aug 3, 2008 For more information: X. Bresson and TF Chan, Fast Minimization of the Vectorial Total Variation Norm and Applications to Color ImageProcessing , CAM Report 07-25)
- 2007-11-14 22:49:05下载
- 积分:1
-
数值分析课程设计
数值分析最常用的四十种算法,使用c++/matlab实现(numerical analysis of the 40 most commonly used algorithms, the use of c/Matlab achieve)
- 2020-06-26 08:40:01下载
- 积分:1
-
msim
matlab仿真模拟退火算法的简单搜索过程,随机数用数组实现(Matlab simulation annealing simple search process, with a few random arrays to achieve)
- 2007-03-27 10:51:02下载
- 积分:1
-
tunning-PID-by-PSO
this code of Particle Swarm Optimization algorithm
- 2013-08-15 00:07:20下载
- 积分:1
-
chapter4
精通MATLAB数字图像处理与识别 chapter4 代码(Proficient in MATLAB digital image processing and recognition chapter4 code)
- 2013-12-05 20:45:16下载
- 积分:1
-
Newton--Raphson-power-flow
matlab
Newton- Raphson power flow and 30bus systam data m file
- 2013-10-04 12:27:30下载
- 积分:1
-
lxt
输入年月日显示星期
输入年月日显示星期(输入年月日显示星期)
- 2010-01-04 11:02:59下载
- 积分:1
-
X509V3CertificateGenerator
class to produce an X.509 Version 3 certificate.
- 2013-11-11 23:22:28下载
- 积分:1
-
mutli-output
多输出的支持向量机matlab代码, 常规的svm是单输出,这个是多输出(
Standard SVR formulation only considers the single-output problem. In the case of several output variables, other methods (neural networks, kernel ridge regression) must be deployed, but the good properties of SVR are lost: hinge-loss function and sparsity. The proposed model M-SVR extends the single-output SVR by taking into account the nonlinear relations between features but also among the output variables, which are typically inter-dependent.
)
- 2016-03-05 15:29:54下载
- 积分:1
-
overlay
This is a Matlab script used to extract simulation data from
, for the CDMA seminars and homework
- 2009-02-26 13:18:33下载
- 积分:1