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Description: 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。
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Size: 1040 |
Author: limingxian |
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Description: It about DSP using in Matlab, welcome to using it,thank-about DSP using Matlab in, welcome to using it, thank
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Size: 1024 |
Author: yueyue |
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Description: 自己编的特征选择程序，分别包括用顺序前进法(SFS),顺序后退法(SBS),增l 减r 法(l–r)、SFFS法进行选择的程序-own addendum to the feature selection procedures, including the use of sequential forward (SFS). back order (SBS), by reducing r l (l-r), SFFS method to choose the procedure
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Author: 夏玉 |
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Description: 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。-The matlab own procedures. For Pattern Recognition Feature Extraction. Feature Extraction is the Sequential Forward Selection method, referred to as sfs. It can be combined with Maximum-Likelihood-Classifier classifier used.
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Size: 1024 |
Author: limingxian |
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Description: Shape from shading:
The source code for the review of shape from shading including minimization, local, propagation and linear methods-Shape from shading
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Size: 1282048 |
Author: jason |
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Description: sbs和sfs特征提取的MatLAB源代码用于多维向量提取最优-sbs Feature Extraction
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Size: 4096 |
Author: 王淑香 |
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Description: matlab source code for shape from shading
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Size: 1024 |
Author: ronak2018 |
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Description: 史丰收速算法 史丰收教授创造的速算法是计算方法上的一次革命 本人保存的好资料-The history of harvest-speed algorithms to create Professor Shi Fengshou speed calculation algorithm is a revolution on the preservation of good information I
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Size: 2814976 |
Author: 张大命 |
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Description: sfs仿真实验图片，全部是黑白灰度图片，没有程序。-sfs simulation images, all black and white grayscale images, there is no program.
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Size: 174080 |
Author: s |
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Description: The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiments on
real images show the approaches ability to reconstruction
the surface from SFS.
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Size: 1024 |
Author: sayed M Hamdy |
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Description: The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiments on
real images show the approaches ability to reconstruction
the surface from SFS.
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Size: 1024 |
Author: sayed M Hamdy |
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Description: The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiments on
real images show the approaches ability to reconstruction
the surface from SFS.
Platform: |
Size: 1024 |
Author: sayed M Hamdy |
Hits:
Description: The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiments on
real images show the approaches ability to reconstruction
the surface from SFS.
Platform: |
Size: 1024 |
Author: sayed M Hamdy |
Hits:
Description: The proposed approach satisfies the
integrability condition and does not need any boundary
condition assumptio-ns, we have designed a stand-alone,
flexible Matlab implementation that enables to
evaluation the proposed approach. The experiments on
real images show the approaches ability to reconstruction
the surface from SFS.
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Size: 1024 |
Author: sayed M Hamdy |
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Description: Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr-Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr
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Size: 3283968 |
Author: driftinwind |
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Description: SFS algorithm matlab code
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Size: 1024 |
Author: naidu |
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Description: 论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。-The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab.
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Size: 130048 |
Author: qirong |
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Description: shape from shading with source code of matlab
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Size: 120832 |
Author: yamha |
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Description: 主要完成图像特征出提取，包括5个特征选择算法：SFS，SBS，SFBS-Description The DEMO includes 5 feature selection algorithms:
Sequential Forward Selection (SFS)
Sequential Floating Forward Selection (SFFS)
Sequential Backward Selection (SBS)
Sequential Floating Backward Selection (SFBS)
ReliefF
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Size: 3284992 |
Author: fuhuan |
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Description: shape from shading in 3D reconstruction
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Size: 370688 |
Author: pandayun |
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