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Hadi Mousanejad Jeddi / LiU colors
MIT LicenseLiU color definition files for a number of programs
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AI Academy / Projects / DyKnow-ROS 2
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Ali Basirat / Shifted-Randomized-SVD
GNU General Public License v3.0 or laterAn extention of the randomized singular value decomposition (SVD) algorithm to estimate the SVD of a shifted data matrix without explicitly constructing the matrix in the memory. With no loss in the accuracy of the original algorithm, the extended algorithm provides for a more efficient way of matrix factorization. The algorithm facilitates the low-rank approximation and principal component analysis (PCA) of off-center data matrices. When applied to different types of data matrices, our experimental results confirm the advantages of the extensions made to the original algorithm.
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Web programming project for the course TDDD27 at Linköping University 2019.
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