Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion.
Kaiyi JiJian TanJinfeng XuYuejie ChiPublished in: SAM (2020)
Keyphrases
- low rank
- matrix completion
- pairwise
- rank minimization
- matrix factorization
- convex optimization
- linear combination
- learning process
- singular value decomposition
- active learning
- semi supervised
- missing data
- high order
- learning algorithm
- learning tasks
- kernel matrix
- trace norm
- learning problems
- data sets
- pattern recognition
- similarity measure
- incomplete data
- feature extraction
- singular values
- stochastic gradient descent
- image processing
- low rank matrix
- feature selection
- nuclear norm
- low rank matrices