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Stan Matwin
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∙ 05/27/2022

TraClets: Harnessing the power of computer vision for trajectory classification

Due to the advent of new mobile devices and tracking sensors in recent y...

0 Ioannis Kontopoulos, et al. ∙

∙ 10/27/2021

Mining frequency-based sequential trajectory co-clusters

Co-clustering is a specific type of clustering that addresses the proble...

0 Yuri Santos, et al. ∙

∙ 08/26/2021

PTRAIL – A python package for parallel trajectory data preprocessing

Trajectory data represent a trace of an object that changes its position...

0 Salman Haidri, et al. ∙

∙ 02/09/2021

Fast discovery of multidimensional subsequences for robust trajectory classification

Trajectory classification tasks became more complex as large volumes of ...

0 Tarlis Portela, et al. ∙

∙ 04/07/2020

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

The global expansion of maritime activities and the development of the A...

1 Lucas May Petry, et al. ∙

∙ 03/23/2020

Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation

Large amounts of mobility data are being generated from many different s...

0 Mohammad Etemad, et al. ∙

∙ 08/14/2019

Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring

The worldwide growth of maritime traffic and the development of the Auto...

0 Lucas May Petry, et al. ∙

∙ 03/18/2019

Discovering Heterogeneous Subsequences for Trajectory Classification

In this paper we propose a new parameter-free method for trajectory clas...

0 Carlos Andres Ferrero, et al. ∙

∙ 07/31/2018

Traj2User: exploiting embeddings for computing similarity of users mobile behavior

Semantic trajectories are high level representations of user movements w...

0 Andrea Esuli, et al. ∙

∙ 03/21/2013

Discovering Semantic Spatial and Spatio-Temporal Outliers from Moving Object Trajectories

Several algorithms have been proposed for discovering patterns from traj...

0 Vitor Cunha Fontes, et al. ∙

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