Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors.
Danil KuzinOlga IsupovaLyudmila MihaylovaPublished in: IEEE Trans. Signal Process. (2018)
Keyphrases
- gaussian process
- bayesian framework
- sparse regression
- gaussian processes
- regression model
- feature selection and classification
- hyperparameters
- approximate inference
- model selection
- semi supervised
- prior knowledge
- low rank
- latent variables
- generative model
- prior information
- latent space
- cross validation
- linear regression
- missing data
- expectation maximization
- moving objects
- image sequences
- feature selection
- data sets
- high dimensional
- image processing