Geometric deep learning on graphs and manifolds using mixture model CNNs.
Federico MontiDavide BoscainiJonathan MasciEmanuele RodolàJan SvobodaMichael M. BronsteinPublished in: CoRR (2016)
Keyphrases
- mixture model
- deep learning
- unsupervised learning
- gaussian mixture model
- expectation maximization
- machine learning
- em algorithm
- probabilistic model
- generative model
- maximum likelihood
- model selection
- semi supervised
- supervised learning
- language model
- weakly supervised
- semi supervised learning
- graph structure
- probabilistic mixture model
- image segmentation
- decision trees
- mental models
- information extraction
- reinforcement learning
- feature selection
- computer vision
- learning algorithm