Scalable Model-Based Gaussian Process Clustering.
Anirban ChakrabortyAbhisek ChakrabortyPublished in: ICASSP (2024)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- bayesian framework
- regression model
- k means
- hyperparameters
- gaussian process classification
- approximate inference
- model selection
- clustering algorithm
- latent variables
- semi supervised
- data points
- dynamical model
- outlier detection
- expectation propagation
- gaussian process models
- sparse approximations
- probabilistic model
- random sampling
- pose estimation
- support vector
- data sets