Dictionary identification: sparse matrix-factorization via l1-minimization.
Rémi GribonvalKarin SchnassPublished in: IEEE Trans. Inf. Theory (2010)
Keyphrases
- matrix factorization
- sparse representation
- collaborative filtering
- tensor factorization
- low rank matrix
- recommender systems
- low rank
- negative matrix factorization
- sparse non negative
- missing data
- latent factors
- factorization methods
- factor analysis
- orthogonal matching pursuit
- nonnegative matrix factorization
- sparse coding
- item recommendation
- data matrix
- variational bayesian
- data sparsity
- stochastic gradient descent
- dictionary learning
- sparsity constraints
- image classification
- high dimensional
- factorization method
- objective function
- implicit feedback
- latent factor models
- personalized ranking
- matrix completion
- binary matrix
- dimensionality reduction
- co occurrence
- factor matrices
- probabilistic matrix factorization