Minimum-volume Rank-deficient Nonnegative Matrix Factorizations.
Valentin LeplatAndersen Man Shun AngNicolas GillisPublished in: ICASSP (2019)
Keyphrases
- matrix factorization
- minimum volume
- nonnegative matrix factorization
- factor matrices
- tensor factorization
- data matrix
- negative matrix factorization
- novelty detection
- collaborative filtering
- low rank
- missing data
- recommender systems
- data representation
- uniform convergence
- objective function
- principal component analysis
- training data
- spectral clustering
- unsupervised learning
- sparsity constraints
- binary matrix
- least squares