Joint 3D Tracking and Forecasting with Graph Neural Network and Diversity Sampling.
Xinshuo WengYe YuanKris KitaniPublished in: CoRR (2020)
Keyphrases
- neural network
- sequential monte carlo
- short term load forecasting
- graph theory
- particle filtering
- spatial and temporal resolution
- visual tracking
- particle filter
- sample size
- real time
- graph representation
- prediction model
- appearance model
- directed graph
- short term
- likelihood model
- pattern recognition
- sampling methods
- articulated object tracking
- object tracking
- structured data
- fuzzy logic
- artificial neural networks
- mean shift
- self organizing maps
- back propagation
- exchange rate
- graph model
- graph structure
- bipartite graph
- kalman filter
- monte carlo
- graph matching
- neural network model
- support vector
- generalized regression neural network
- long term
- joint angles
- adjacency matrix
- genetic algorithm
- forecasting model
- predictive model
- markov chain monte carlo
- moving target
- directed acyclic graph
- random sampling
- weighted graph
- bp neural network
- associative memory