Variational approximation error in non-negative matrix factorization.
Naoki HayashiPublished in: Neural Networks (2020)
Keyphrases
- negative matrix factorization
- variational approximation
- matrix factorization
- approximate inference
- sparse representation
- latent variables
- document clustering
- principal component analysis
- em algorithm
- bayesian inference
- exact inference
- kullback leibler
- spectral clustering
- markov chain monte carlo
- graphical models
- probabilistic model
- computer vision
- expectation maximization
- maximum likelihood
- probabilistic latent semantic analysis
- feature selection