The Deep Regression Bayesian Network and Its Applications: Probabilistic Deep Learning for Computer Vision.
Siqi NieMeng ZhengQiang JiPublished in: IEEE Signal Process. Mag. (2018)
Keyphrases
- deep learning
- bayesian networks
- computer vision
- unsupervised feature learning
- unsupervised learning
- machine learning
- conditional probabilities
- deep architectures
- probabilistic model
- mental models
- restricted boltzmann machine
- object recognition
- graphical models
- generative model
- image segmentation
- pattern recognition
- image processing
- deep belief networks
- model selection
- probabilistic inference
- belief networks
- weakly supervised
- decision makers
- maximum likelihood