The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy-to-use graphical user interface, and a computationally powerful algorithm.
標(biāo)簽： fixed-point implements algorithm FastICA
上傳時間： 2014-08-17
上傳用戶：yy541071797
在上載一個bot源碼給喜歡研究僵尸網(wǎng)絡(luò)的朋友
標(biāo)簽： bot 源碼 僵尸網(wǎng)絡(luò)
上傳時間： 2016-06-13
上傳用戶：zhuyibin
在上載一個bot源碼給喜歡研究僵尸網(wǎng)絡(luò)的朋友
標(biāo)簽： bot 源碼 僵尸網(wǎng)絡(luò)
上傳時間： 2014-12-06
上傳用戶：zsjinju
再上傳一個bot源碼給對botnet研究感興趣的人
上傳時間： 2016-06-13
上傳用戶：xg262122
LAPACK++ (Linear Algebra PACKage in C++) is a software library for numerical linear algebra that solves systems of linear equations and eigenvalue problems on high performance computer architectures
標(biāo)簽： numerical software Algebra PACKage
上傳時間： 2014-08-16
上傳用戶：h886166
pca人臉識別This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Principal Component Analysis
上傳時間： 2014-01-03
上傳用戶：佳期如夢
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：trepb001
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：hakim
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：cylnpy
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時間： 2013-12-16
上傳用戶：JIUSHICHEN
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