Data-driven transition matrix estimation in probabilistic learning models for autonomous driving.
Hafsa IqbalDamian CampoLucio MarcenaroDavid Martín GómezCarlo S. RegazzoniPublished in: Signal Process. (2021)
Keyphrases
- learning models
- data driven
- transition matrix
- autonomous driving
- markov chain
- machine learning
- grand challenge
- loss function
- semi supervised learning
- learning algorithm
- machine learning algorithms
- learning tasks
- stereo vision
- learning problems
- conditional random fields
- probabilistic model
- classification models
- microarray
- prior knowledge
- generative model
- random walk
- similarity measure
- computer vision
- vision algorithms
- bayesian networks
- state space
- data sets