Learning to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models.
Michael EssichDennis LudlThomas GuldeCristóbal CurioPublished in: 3DV (2019)
Keyphrases
- real world
- learning process
- learning algorithm
- wide range
- sensor networks
- learning problems
- learning systems
- accurate models
- neural network
- active learning
- learning models
- neural nets
- data sets
- learning scheme
- hidden variables
- case study
- online learning
- previously learned
- real time
- previously unseen
- structured prediction
- dynamic bayesian networks
- data mining
- probabilistic model
- synthetic data
- classification models
- model selection
- statistical models
- transfer learning
- experimental data
- complex systems
- parameter estimation