Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks.
Sebastián BasterrechColin FyfeGerardo RubinoPublished in: ISDA (2011)
Keyphrases
- self organizing maps
- scale invariant
- echo state networks
- high dimensional input data
- recurrent neural networks
- neural network
- natural images
- keypoints
- scale space
- affine invariant
- scale invariance
- multiscale
- input data
- k means
- neural gas
- unsupervised learning
- local binary pattern
- image structure
- invariant features
- interest point detectors
- texture images
- translation and scale invariant
- feed forward
- texture analysis
- image coding
- text classification
- training data