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3D_SIFT_demo
本MATLAB程序 用MATLAB 来实现3D 图像的匹配 用高斯卷积 来寻找 关键点 ,再利用关键点处的特征向量 通过3D向量的匹配 来实现3D 图像的配准(The MATLAB program using MATLAB to realize the matching of 3D images using Gaussian convolution to find the key points, re-use the key points of the feature vector through the 3D vector matching to realize 3D image registration)
- 2007-08-01 09:49:17下载
- 积分：1
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SVD_MATLAB_program
SVD Source Code, realized on MATLAB
Image Compression is the application using Linear Algebra tools
- 2010-10-20 21:48:33下载
- 积分：1
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psoToolbox
Help psoToolbox V1.0
psoToolbox provides an interective GUI based Toolbox to solve
optimization problems using particle swarm optimization.
Creat a fitness function in M-file.
Inputs:
Function : Function handle of fitness function.
Nvars : Number of variable to be optimized.
LB : Lower Bound of Nvars (1 X Nvars)
UB : Upper Bound of Nvars (1 X Nvars)
Parameters:
C1 : Cognative Attraction
C2 : Social Attraction
W : Inertial
Population Size : Number of Swarms
Max Iterations : Maximum number of epochs.
Click on " RUN PSO " button to start PSO search. You will get the out put
at Edit box below the axes.
- 2013-11-24 04:13:20下载
- 积分：1
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gabor_suanfa
使用MATLAB 的gabor算法
使用MATLAB 的gabor算法(gabor using MATLAB algorithm using MATLAB algorithm gabor)
- 2007-01-10 12:07:45下载
- 积分：1
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CManual
C Language Reference Manual
- 2010-09-29 23:34:03下载
- 积分：1
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DeepLearnToolbox
深度机器学习工具包，MATLAB，内容详尽，有兴趣的可以下载(Depth of machine learning toolkit, MATLAB, detailed, are interested can download)
- 2014-12-04 14:11:28下载
- 积分：1
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Python-GUI
讲故事小程序，自定义人物事件，GUI功能展示。(Storytelling applet, custom characters and events, GUI functions show.)
- 2014-12-08 04:02:44下载
- 积分：1
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inverter_cloop
逆变器dq闭环控制，三相逆变器dq闭环(Dq inverter closed-loop control, closed-loop three-phase inverter dq, La La La)
- 2017-03-27 20:50:05下载
- 积分：1
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k-fold_cross-validation_binary_libsvm
k-fold svm which downloaded before.
- 2017-08-24 15:03:25下载
- 积分：1
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newnethodotsu
一个新设计的OTSU算法，使用方法如下：％ load clown
％ subplot(221)
％ imshow(X/max(X(:)))
％ title( Original , FontWeight , bold )
％ for n = 2:4
％ Iseg = otsu(X,n)
％ subplot(2,2,n), colormap(gray)
％ imshow(Iseg)
％ title([ n = int2str(n)], FontWeight , bold )
％ end(OTSU design a new algorithm, using the method as follows: load clown subplot (221) imshow (X/max (X (:))) title (Original, FontWeight, bold) for n = 2:4 Iseg = otsu (X, n) subplot (2,2, n), colormap (gray) imshow (Iseg) title ([n = int2str (n)], FontWeight, bold) end)
- 2007-11-14 12:45:49下载
- 积分：1
