A Spiking Neural Architecture for Vector Quantization and Clustering.
Adrien FoisBernard GirauPublished in: ICONIP (2) (2020)
Keyphrases
- vector quantization
- neural architecture
- feed forward
- image compression
- neural gas
- vector quantizer
- reduced complexity
- clustering algorithm
- neural network
- k means
- clustering method
- self organizing maps
- distortion measure
- activation function
- neural nets
- data clustering
- unsupervised learning
- artificial neural networks
- basis functions
- multilayer perceptron
- recurrent neural networks
- multi layer perceptron
- data points
- fractal image coding
- subband
- back propagation
- fuzzy sets
- feature space
- entropy constrained
- successive approximation
- finite state vector quantization