Compressing and Interpreting SOM-Based Convolutional Neural Networks.
Ryotaro KamimuraPublished in: IEA/AIE (2020)
Keyphrases
- convolutional neural networks
- self organizing maps
- convolutional network
- kohonen self organizing map
- competitive learning
- neural network
- data compression
- unsupervised learning
- facial landmark localization
- feature vectors
- growing self organizing map
- input space
- topology preserving
- k means
- neural gas
- high dimensional
- artificial intelligence
- data sets
- input data
- multiresolution
- topology preservation
- som neural network
- information retrieval
- database