Reducing the Control Overhead of Intelligent Reconfigurable Surfaces via a Tensor-Based Low-Rank Factorization Approach.
Bruno SokalPaulo R. B. GomesAndré L. F. de AlmeidaBehrooz MakkiGábor FodorPublished in: IEEE Trans. Wirel. Commun. (2023)
Keyphrases
- low rank
- high order
- convex optimization
- matrix factorization
- linear combination
- missing data
- singular value decomposition
- low rank matrix
- semi supervised
- non rigid structure from motion
- matrix completion
- rank minimization
- high dimensional data
- matrix decomposition
- data matrix
- factorization methods
- low rank matrices
- higher order
- minimization problems
- trace norm
- robust principal component analysis
- collaborative filtering
- small number
- image processing
- feature selection
- subspace learning
- dimensionality reduction
- data sets