Low-Rank Plus Sparse Decomposition of Covariance Matrices Using Neural Network Parametrization.
Michel BaesCalypso HerreraAriel NeufeldPierre RuyssenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- covariance matrices
- low rank
- tensor decomposition
- neural network
- low rank matrix
- rank minimization
- covariance matrix
- low rank matrices
- maximum likelihood
- linear combination
- convex optimization
- missing data
- matrix factorization
- high order
- regularized regression
- gaussian mixture model
- vector space
- distance measure
- singular value decomposition
- semi supervised
- matrix completion
- gaussian distribution
- high dimensional data
- kernel matrix
- pattern recognition
- feature vectors
- gaussian mixture
- sparse matrix
- feature selection
- principal component analysis
- linear classifiers
- dimensionality reduction
- higher order
- multi class
- pairwise