Supervised low-rank semi-nonnegative matrix factorization with frequency regularization for forecasting spatio-temporal data.
Keunsu KimHanbaek LyuJinsu KimJae-Hun JungPublished in: CoRR (2023)
Keyphrases
- nonnegative matrix factorization
- spatio temporal data
- low rank
- matrix factorization
- matrix decomposition
- trace norm
- semi supervised
- spatio temporal
- sparsity constraints
- collaborative filtering
- low rank matrix
- missing data
- matrix completion
- negative matrix factorization
- unsupervised feature selection
- data matrix
- recommender systems
- kernel matrix
- low rank approximation
- data representation
- databases
- convex optimization
- linear combination
- moving objects
- learning algorithm
- unsupervised learning
- high dimensional data
- pairwise
- machine learning
- singular values
- spectral clustering
- principal component analysis
- supervised learning
- least squares
- original data
- training data
- image processing