Non-orthogonal approximate joint diagonalization of non-Hermitian matrices in the least-squares sense.
Jifei MiaoGuanghui ChengWenrui LiGong ZhangPublished in: Neurocomputing (2019)
Keyphrases
- least squares
- singular value decomposition
- matrix approximation
- singular values
- policy evaluation
- error minimization
- optical flow
- square matrices
- hurwitz radon
- levenberg marquardt
- robust estimation
- sparse linear
- ls svm
- neural network
- simple linear
- blind separation
- sparse matrix
- curve fitting
- basis functions
- computer vision