Digital associative memory for word-parrallel Manhattan-distance-based vector quantization.
Seiryu SasakiMasahiro YasudaHans Jürgen MattauschPublished in: ESSCIRC (2012)
Keyphrases
- vector quantization
- associative memory
- image compression
- kohonen feature map
- vector quantizer
- neural network
- co occurrence
- fractal image compression
- speaker recognition
- distortion measure
- reduced complexity
- codebook design
- neural gas
- neural network model
- input vector
- fractal image coding
- vector quantized
- finite state vector quantization
- n gram
- human perception
- artificial neural networks
- high dimensional
- entropy constrained
- machine learning