Modeling and classification of trajectories based on a Gaussian process decomposition into discrete components.
Damian CampoMohamad BaydounLucio MarcenaroAndrea CavallaroCarlo S. RegazzoniPublished in: AVSS (2017)
Keyphrases
- gaussian process
- gaussian processes
- model selection
- gaussian process regression
- dynamical models
- gaussian process classification
- dynamical model
- kernel logistic regression
- latent variables
- gaussian process models
- regression model
- hyperparameters
- cross validation
- feature selection
- feature extraction
- support vector
- semi supervised
- machine learning
- bayesian framework
- approximate inference
- feature space
- covariance function
- incremental learning
- decision trees
- image classification
- non stationary
- sparse approximations