Enhancing the Adaptiveness of Gaussian Process Regression based on Power Spectral Density.
Dinh-Mao BuiNguyen Anh TuKok-Seng WongPublished in: IMCOM (2020)
Keyphrases
- gaussian process
- power spectral density
- spectral analysis
- fourier transform
- regression model
- frequency band
- prediction error
- model selection
- bayesian framework
- power spectrum
- hyperparameters
- latent variables
- semi supervised
- computer vision
- cross validation
- subband
- maximum a posteriori
- data sets
- sparse representation
- frequency domain
- similarity measure
- topic models
- clustering algorithm
- signal processing
- co occurrence