A post-nonlinear mixture model approach to binary matrix factorization.
Mamadou DiopAnthony LarueSebastian MironDavid BriePublished in: EUSIPCO (2017)
Keyphrases
- mixture model
- matrix factorization
- collaborative filtering
- gaussian mixture model
- em algorithm
- low rank
- probabilistic model
- generative model
- recommender systems
- density estimation
- missing data
- model selection
- factorization methods
- factor analysis
- expectation maximization
- binary matrix
- negative matrix factorization
- nonnegative matrix factorization
- unsupervised learning
- maximum likelihood
- gaussian mixture
- data matrix
- language model
- image representation
- machine learning