Recurrent neural network for approximate nonnegative matrix factorization.
Giovanni CostantiniRenzo PerfettiMassimiliano TodiscoPublished in: Neurocomputing (2014)
Keyphrases
- recurrent neural networks
- nonnegative matrix factorization
- neural network
- probabilistic latent semantic indexing
- matrix factorization
- negative matrix factorization
- data representation
- spectral clustering
- artificial neural networks
- reservoir computing
- least squares
- feed forward
- nonnegative matrix
- complex valued
- document clustering
- principal component analysis
- recurrent networks
- original data
- objective function
- data sets
- unsupervised learning
- pattern recognition
- echo state networks
- text classification
- dimensionality reduction
- training data
- computer vision
- data mining