Unsupervised Pedestrian Trajectory Prediction with Graph Neural Networks.
Mingkun WangDianxi ShiNaiyang GuanTao ZhangLiujing WangRuoxiang LiPublished in: ICTAI (2019)
Keyphrases
- neural network
- competitive learning
- pattern recognition
- prediction model
- prediction accuracy
- neural network ensemble
- genetic algorithm
- artificial neural networks
- artificial neural networks to predict
- neural networks and support vector machines
- directed acyclic graph
- graph theory
- graph matching
- unsupervised learning
- neural nets
- graph model
- random walk
- predictive model
- graph structure
- trajectory data
- back propagation
- structured data
- location prediction
- neural network model
- semi supervised
- knn
- prediction algorithm
- graph representation
- graph databases
- self organizing maps
- multi layer
- prediction error
- recurrent neural networks
- feed forward
- directed graph
- training process
- undirected graph
- multi layer perceptron
- graph theoretic
- supervised learning
- pedestrian detection
- radial basis function network
- protein function prediction
- fuzzy logic
- connected components