Fixed-rank matrix factorizations and Riemannian low-rank optimization
Bamdev MishraGilles MeyerSilvere BonnabelRodolphe SepulchrePublished in: CoRR (2012)
Keyphrases
- matrix factorization
- low rank
- nuclear norm
- low rank matrix
- collaborative filtering
- stochastic gradient descent
- missing data
- recommender systems
- kernel matrix
- factorization methods
- matrix completion
- singular values
- nonnegative matrix factorization
- rank minimization
- negative matrix factorization
- low rank approximation
- data matrix
- convex optimization
- singular value decomposition
- tensor factorization
- trace norm
- high order
- sparsity constraints
- linear combination
- minimization problems
- high dimensional data
- spectral clustering