Low Rank Regularization: A review.
Zhanxuan HuFeiping NieRong WangXuelong LiPublished in: Neural Networks (2021)
Keyphrases
- low rank
- rank minimization
- trace norm
- minimization problems
- group sparsity
- kernel matrices
- linear combination
- convex optimization
- missing data
- matrix factorization
- matrix completion
- semi supervised
- low rank matrix
- singular value decomposition
- high dimensional data
- high order
- kernel matrix
- matrix decomposition
- pairwise
- regularization parameter
- low rank matrices
- low rank approximation
- learning algorithm
- pattern recognition
- norm minimization
- stochastic gradient descent
- interior point methods
- multi task
- markov random field