PTP: Parallelized Tracking and Prediction With Graph Neural Networks and Diversity Sampling.
Xinshuo WengYe YuanKris KitaniPublished in: IEEE Robotics Autom. Lett. (2021)
Keyphrases
- neural network
- sequential monte carlo
- prediction accuracy
- prediction model
- artificial neural networks to predict
- neural network ensemble
- spatial and temporal resolution
- artificial neural networks
- graph representation
- real time
- particle filter
- articulated object tracking
- pattern recognition
- multilayer perceptron
- visual tracking
- back propagation
- neural network model
- kalman filter
- radial basis function neural network
- neural networks and support vector machines
- graph theory
- likelihood model
- genetic algorithm
- protein function prediction
- mean shift
- protein interaction
- radial basis function network
- monte carlo
- prediction algorithm
- recurrent neural networks
- random walk
- linear predictors
- structured data
- undirected graph
- connected components
- graph model
- graph mining
- directed acyclic graph
- random sampling
- prediction error
- bipartite graph
- object tracking
- appearance model
- directed graph