Bayesian Sparse Factor Analysis with Kernelized Observations.
Carlos Sevilla-SalcedoAlejandro Guerrero-LópezPablo M. OlmosVanessa Gómez-VerdejoPublished in: CoRR (2020)
Keyphrases
- factor analysis
- fisher discriminant analysis
- latent factors
- component analysis
- independent component analysis
- cluster analysis
- discriminant analysis
- statistical tests
- correspondence analysis
- bayesian networks
- maximum likelihood
- matrix factorization
- neural network
- kernel function
- information criterion
- sparse representation
- automatic model selection
- principal component analysis
- knowledge discovery
- high dimensional
- computer vision