Recursive Neural Networks for Density Estimation Over Generalized Random Graphs.
Marco BonginiLeonardo RigutiniEdmondo TrentinPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- density estimation
- random graphs
- recursive neural networks
- neural network
- graph theoretic
- machine learning
- probability density function
- mixture model
- gesture recognition
- phase transition
- outlier detection
- density function
- parzen window
- density estimators
- gaussian mixture model
- small world
- random walk
- real world
- graph theory
- image processing
- undirected graph
- density estimates
- model selection