Multiplicative updates for convolutional NMF under β-divergence.
Pedro J. Villasana T.Stanislaw GorlowArvind T. HariramanPublished in: Optim. Lett. (2020)
Keyphrases
- negative matrix factorization
- nonnegative matrix factorization
- update rule
- deep learning
- matrix factorisation
- convolutional neural networks
- document clustering
- sparse coding
- network architecture
- neural network
- matrix factorization
- unsupervised learning
- signal processing
- kl divergence
- frequent sets
- kullback leibler
- co occurrence
- principal component analysis
- multiscale