Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance and Riemannian Mixture Models.
Ho Jin ChoiNadia FigueroaPublished in: CoRR (2023)
Keyphrases
- mixture model
- gaussian process
- model selection
- bayesian nonparametric
- variational inference
- gaussian processes
- hyperparameters
- gaussian mixture model
- em algorithm
- mixture of gaussians
- generative model
- probabilistic model
- density estimation
- bayesian framework
- expectation maximization
- latent variables
- cross validation
- regression model
- unsupervised learning
- approximate inference
- maximum likelihood
- semi supervised
- probability density function
- language model
- riemannian metric
- dirichlet process
- feature selection
- posterior distribution
- machine learning
- reinforcement learning
- training set
- incremental learning
- prior information
- data mining