Low rank spectral regression via matrix factorization for efficient subspace learning.
Yong PengLeijie ZhangWanzeng KongFeiwei QinJianhai ZhangPublished in: J. Intell. Fuzzy Syst. (2020)
Keyphrases
- matrix factorization
- low rank
- subspace learning
- low rank approximation
- collaborative filtering
- missing data
- low rank matrix
- factorization methods
- semi supervised
- matrix completion
- recommender systems
- high dimensional data
- convex optimization
- dimensionality reduction
- linear combination
- kernel matrix
- nonnegative matrix factorization
- data matrix
- negative matrix factorization
- sparse coding
- high dimensional
- data representation
- data sets
- binary matrix
- sparsity constraints
- singular value decomposition
- model selection
- higher order
- pattern recognition
- multiscale
- image processing
- learning algorithm