Deep Learning From Trajectory Data: a Review of Deep Neural Networks and the Trajectory Data Representations to Train Them.
Anita GraserAnahid JalaliJasmin LampertAxel WeißenfeldKrzysztof JanowiczPublished in: EDBT/ICDT Workshops (2023)
Keyphrases
- trajectory data
- deep learning
- data representations
- neural network
- data representation
- unsupervised feature learning
- unsupervised learning
- moving object trajectories
- deep architectures
- road network
- machine learning
- space time
- temporal information
- moving objects
- mental models
- spatial data
- query processing
- weakly supervised
- deep belief networks
- similarity search
- pattern recognition
- distance function
- dimensionality reduction
- xml documents
- pairwise
- computer vision
- metric space
- knn