Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors.
Danil KuzinOlga IsupovaLyudmila MihaylovaPublished in: CoRR (2018)
Keyphrases
- gaussian process
- bayesian framework
- sparse regression
- gaussian processes
- hyperparameters
- regression model
- feature selection and classification
- approximate inference
- model selection
- latent variables
- prior knowledge
- maximum a posteriori
- semi supervised
- low rank
- generative model
- image sequences
- data sets
- linear regression
- prior information
- closed form
- collaborative filtering
- moving objects
- face recognition
- feature selection