Complex-valued Adaptive System Identification via Low-Rank Tensor Decomposition.
Oliver PloderChristina AuerOliver LangThomas PairederMario HuemerPublished in: CoRR (2023)
Keyphrases
- tensor decomposition
- low rank
- complex valued
- recurrent neural networks
- real valued
- convex optimization
- missing data
- data representation
- high order
- singular value decomposition
- matrix factorization
- linear combination
- auxiliary information
- matrix completion
- low rank matrix
- high dimensional data
- semi supervised
- tensor factorization
- neural network
- rank minimization
- linear equations
- low dimensional
- least squares
- nearest neighbor
- small number
- support vector machine
- image segmentation