Markov Localisation using Heatmap Regression and Deep Convolutional Odometry.
Oscar Mendez MaldonadoSimon HadfieldRichard BowdenPublished in: CoRR (2021)
Keyphrases
- deep learning
- regression model
- unsupervised feature learning
- model selection
- markov model
- linear regression
- deep belief networks
- simple linear
- markov chain
- polynomial regression
- regression methods
- directed acyclic graph
- aggregating algorithm
- markov process
- regression algorithm
- unsupervised learning
- convolutional neural networks
- regression method
- locally weighted
- semi markov
- ridge regression
- feature space
- regression problems
- conditional independence
- regression analysis
- natural images
- pairwise