Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands.
Taufique AhmedLuca LongoPublished in: IEEE Access (2022)
Keyphrases
- frequency band
- topographic maps
- latent space
- high frequency
- frequency ranges
- low frequency
- subband
- wavelet packet
- transfer function
- latent variables
- denoising
- low dimensional
- gaussian process
- image segmentation
- training set
- lower dimensional
- restricted boltzmann machine
- dimensionality reduction
- image processing
- gaussian processes
- wavelet transform
- vector quantizer
- object recognition
- computational complexity
- pattern recognition