Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification.
Shayegan OmidshafieiBrett Thomas LopezJonathan P. HowJohn VianPublished in: CoRR (2016)
Keyphrases
- object classification
- hierarchical bayesian
- bayesian inference
- variational inference
- gibbs sampling
- object recognition
- probabilistic model
- object categories
- bayesian networks
- topic models
- object detection
- belief networks
- latent dirichlet allocation
- pedestrian detection
- expectation maximization
- posterior distribution
- generative model
- variational methods
- mixture model
- co occurrence