Sparse Additive Matrix Factorization for Robust PCA and Its Generalization.
Shinichi NakajimaMasashi SugiyamaS. Derin BabacanPublished in: ACML (2012)
Keyphrases
- matrix factorization
- low rank matrix
- low rank
- robust principal component analysis
- negative matrix factorization
- collaborative filtering
- sparsity constraints
- recommender systems
- principal component analysis
- nonnegative matrix factorization
- tensor factorization
- missing data
- high dimensional
- latent factors
- factor analysis
- factorization methods
- variational bayesian
- sparse representation
- feature extraction
- data sparsity
- factorization method
- sparse matrix
- matrix completion
- item recommendation
- data matrix
- dimensionality reduction
- implicit feedback
- pairwise
- principal components
- independent component analysis
- low dimensional
- probabilistic matrix factorization
- feature space