Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders-Reference-Cited by-同舟云学术

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Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders

Published:2022-11 Issue: Volume:131 Page:108891
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Gajamannage Kelum^ORCID,Park Yonggi,Paffenroth Randy,Jayasumana Anura P.^ORCID

Funder

Google Inc

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference32 articles.

1. Collective motion;Vicsek;Phys. Rep.,2012

2. Identifying manifolds underlying group motion in vicsek agents;Gajamannage;Eur. Phys. J.,2015

3. Multiple object tracking: A literature review;Luo;Artif. Intell.,2021

4. Reconstruction of agents’ corrupted trajectories of collective motion using low-rank matrix completion;Gajamannage,2019

5. Deep-learning-assisted volume visualization;Cheng;IEEE Trans. Visual. Comput. Graph.,2018

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