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A sparse variant of the Levenberg-Marquardt algorithm implemented by levmar has been applied to bundle adjustment, a com...
Sparse Estimation Algorithms by Blumensath and Davies min ||x||_0 subject to ||y - Ax||_2<e
This demonstration shows that reordering the rows and columns of a sparse matrix S can affect the time and storage requi...
sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step of every feature-ba...
这是一个压缩传感方面的Gradient Projection for Sparse Reconstruction 工具包。
使用奇异值分解算法的prony算法-single value decomposition based prony algorithm
基于奇异值分解的核线性判别分析（Kernel Discriminant Analysis via QR Decomposition）。
这是CISS会议上发表的著名论文“Tensor Canonical decomposition based method for blind identification of MIMO system with 3-input 2-outp...
通过奇异值分解实现的最小二乘拟合算法 inear least-squares fit by singular value decomposition
％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法， ％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交...