Actively Improving Robot Navigation On Different Terrains Using Gaussian Process Mixture Models.
Lorenzo NardiCyrill StachnissPublished in: ICRA (2019)
Keyphrases
- robot navigation
- mixture model
- gaussian process
- model selection
- bayesian nonparametric
- gaussian processes
- hyperparameters
- variational inference
- em algorithm
- bayesian framework
- probabilistic model
- generative model
- gaussian mixture model
- regression model
- latent variables
- approximate inference
- density estimation
- expectation maximization
- scene understanding
- active learning
- semi supervised
- mixture of gaussians
- autonomous robots
- cross validation
- unsupervised learning
- maximum likelihood
- language model
- probability density function
- machine learning
- sample size
- object detection
- super resolution
- information criterion
- image processing