Jan 27, 2023 · We propose a single trajectory inference algorithm that utilizes a generic long-tailed sparsity pattern in the large-scale trajectory data.

Jan 21, 2020 · On extremely sparse trajectories, the deep learning model achieves a 2\times overall accuracy improvement from the single trajectory inference ...

Jan 21, 2020 · On extremely sparse trajectories, the deep learning model achieves a 2× overall accuracy improvement from the single trajectory inference ...

Oct 22, 2024 · In this paper, based on formal and rigid definitions of the stay/travel mobility, we propose a single trajectory inference algorithm that ...

With the popularity of location-based services, human mobility prediction plays a key role in enhancing personalized navigation, optimizing recommendation.

We show that by exploiting structural regularity in large trajectory data, the complete geometry of trajectories can be inferred from sparse GPS samples without ...

This paper presents a knowledge-based approach for completing traffic trajectories that extracts a network of road junctions and estimates traffic flows ...

Oct 12, 2019 · A new technique that hinges on tensor factorization as a core method to complete individual CDR-based trajectories.

Abstract—Many online inference problems in robotics and AI are characterized by probability distributions whose factor graph representations are sparse.