Multi-reference factor analysis: low-rank covariance estimation under unknown translations.
Boris LandaYoel ShkolniskyPublished in: CoRR (2019)
Keyphrases
- factor analysis
- low rank
- matrix factorization
- collaborative filtering
- missing data
- low rank matrix
- matrix completion
- convex optimization
- linear combination
- recommender systems
- regularized regression
- rank minimization
- negative matrix factorization
- independent component analysis
- high dimensional data
- latent factors
- singular value decomposition
- discriminant analysis
- cluster analysis
- high order
- semi supervised
- neural network
- nonnegative matrix factorization
- trace norm
- data mining
- statistical tests
- statistical analysis
- dimensionality reduction
- small number
- decision trees