Assembly of Echo State Networks Driven by Segregated Low Dimensional Signals.
Takahiro IinumaSou NobukawaSatoshi YamaguchiPublished in: IJCNN (2022)
Keyphrases
- echo state networks
- low dimensional
- recurrent neural networks
- high dimensional
- high dimensional data
- dimensionality reduction
- data points
- manifold learning
- data driven
- principal component analysis
- dimension reduction
- input space
- euclidean space
- neural network
- signal processing
- vector space
- spectral analysis
- feature space
- graph embedding
- signal detection
- visually guided
- nonlinear dimensionality reduction
- radio frequency
- independent component analysis
- multidimensional scaling
- linear subspace
- eeg signals
- similarity measure
- image processing
- computer vision
- artificial intelligence