Two Novel Algorithms for Low-Rank Matrix Completion Problem.
Hamid FathiEmad RangrizVahid PourahmadiPublished in: IEEE Signal Process. Lett. (2021)
Keyphrases
- matrix completion
- low rank
- low rank matrix approximation
- convex optimization
- matrix factorization
- semi supervised
- rank minimization
- singular values
- minimization problems
- linear combination
- missing data
- singular value decomposition
- low rank matrix
- collaborative filtering
- high dimensional data
- norm minimization
- low rank matrices
- kernel matrix
- learning algorithm
- nuclear norm
- dimensionality reduction
- pattern recognition
- stochastic gradient descent
- theoretical guarantees
- nonnegative matrix factorization
- incomplete data
- trace norm
- small number
- machine learning