Learning Latent Features With Pairwise Penalties in Low-Rank Matrix Completion.
Kaiyi JiJian TanJinfeng XuYuejie ChiPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- low rank
- matrix completion
- pairwise
- matrix factorization
- rank minimization
- missing data
- linear combination
- feature extraction
- low rank matrices
- low rank matrix
- singular values
- convex optimization
- learning process
- high order
- feature vectors
- semi supervised
- learning algorithm
- active learning
- incomplete data
- similarity measure
- trace norm
- norm minimization
- kernel matrix
- image classification
- multi task
- recommender systems
- low rank approximation
- learning tasks
- singular value decomposition
- bayesian networks
- collaborative filtering
- high dimensional data
- nuclear norm
- markov random field