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KPCA
为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。
(PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component Analysis (kpca) method, 16 kinds of different regions of our country the quality of fermented bean curd had a comprehensive evaluation.)
- 2009-03-25 17:03:57下载
- 积分:1
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phasecongruency-byMySelf
log Gabor小波图像纹理特征分析我小改過(log Gabor wavelet texture features of image I have little turn over)
- 2010-12-16 20:09:28下载
- 积分:1
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MatPIV161
PIV实验结果后处理,速度场,涡量场,应力场(The postprocessing of PIV observations)
- 2018-09-03 17:51:47下载
- 积分:1
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Digital-image-processing
(2001何斌+光盘)Visual c++数字图像处理(第二版),使用VC进行数字图像处理的相关资料,十分实用!((2001 Bin+ disc the) Visual c++ digital image processing (second edition), digital image processing using VC, very practical!)
- 2012-11-20 20:24:04下载
- 积分:1
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EM_GM
混合高斯分布EM算法,可以算混合高斯分布的三个参数。混合高斯分布更接近系数分布。(mixed Gaussian distribution EM algorithm can calculate mixed Gaussian distribution of the three parameters. Mixed closer to the Gaussian distribution coefficient.)
- 2007-03-01 14:56:03下载
- 积分:1
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KLFDA
说明: 基于局部Fisher准则的非线性核Fisher辨别分析,应用于有监督的特征提取与高维数据的有效降维。(Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction.)
- 2010-04-20 09:38:31下载
- 积分:1
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Joint entropy
计算两个离散变量x和y的联合熵z = H(x,y)。 输入:x,y:两个相同长度的整数向量输出:z:联合熵
可以使用,有利于学习目的(Compute joint entropy z=H(x,y) of two discrete variables x and y. Input: of x, y: two integer vector of the same length Output: z: joint entropy
good for learning purposes)
- 2020-06-23 11:20:01下载
- 积分:1
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demo
用神经网络方法筛选图片,从而判断某一图片是否存在病变(Neural network)
- 2012-06-10 08:13:58下载
- 积分:1
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main
burg距离方位分别外推超分辨算法,实现对稀疏数据的超分辨成像。(burg extrapolation distance and orientation were super-resolution algorithm to achieve the super-resolution imaging sparse data.)
- 2013-08-19 21:44:32下载
- 积分:1
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Hough
Detecting ellipses on a camera source with Hough transform
- 2017-01-07 01:24:49下载
- 积分:1