Generalising Recursive Neural Models by Tensor Decomposition.
Daniele CastellanaDavide BacciuPublished in: CoRR (2020)
Keyphrases
- neural models
- tensor decomposition
- data representation
- auxiliary information
- neural model
- bio inspired
- neural network model
- high order
- artificial neural networks
- neural network
- low rank
- recurrent neural networks
- spiking neural networks
- visual data
- higher order
- tensor factorization
- biologically inspired
- decomposition algorithm
- convex optimization
- denoising
- feature selection
- learning algorithm