A distance metric known as non‐Euclidean distance deviates from the laws of Euclidean
geometry, which is the geometry that governs most physical spaces. It is utilized when …

Trajectory-User Linking (TUL) aiming to identify users of anonymous trajectories, has
recently received increasing attention due to its wide range of applications, such as criminal …

Trajectory user linking (TUL) is a problem in trajectory classification that links anonymous
trajectories to the users who generated them. TUL has various uses such as identity …

The rapid growth of location-based services (LBS) has yielded massive amounts of data on
human mobility. Effectively extracting meaningful representations for user-generated check …

Abstract Trajectory-User Linking (TUL) aims to link anonymous trajectories to their owners,
which is considered an essential task in discovering human mobility patterns. Although …

Linking trajectories to users who generate them with deep learning techniques has been a
popular research topic in recent years, due to the large-scale trajectory data obtained by …

Trajectory-User Linking (TUL) is crucial for human mobility modeling by linking different
trajectories to users with the exploration of complex mobility patterns. Existing works mainly …

Recently, matching the cross-site user accounts based on user trajectory similarity has been
attracting much attention, which benefits many applications. Most of existing works measure …

用户轨迹识别作为一项重要的时空数据挖掘任务, 广泛应用于基于位置的个性化服务推荐,
行程规划, 犯罪行为检测和目标跟踪等领域, 但依然面临预测精度不高的问题 …

The disclosed relates to a hybrid traffic flow motion behavior modeling method based on an
inference graph, wherein the method comprises: obtaining scene information, representing …