Manifold Learning for Real-World Event Understanding
| Autor: | Anderson Rocha, Bahram Lavi, Caroline Mazini Rodrigues, Aurea Soriano-Vargas, Zanoni Dias |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
021110 strategic
defence & security studies Computer Networks and Communications Computer science Event (computing) Feature extraction 0211 other engineering and technologies Nonlinear dimensionality reduction 02 engineering and technology Manifold Learning Image Components Semantics Data science Digital Forensics Event Understanding and Reconstruction Image Representation Task analysis Social media Safety Risk Reliability and Quality Natural disaster Representation (mathematics) |
| DOI: | 10.5281/zenodo.4633316 |
| Popis: | Supplementary Material and datasets of the paper Manifold Learning for Real-World Event Understanding. It includes 5 datasets: - Wedding: royal wedding which happened on April 29th, 2011 at the Westminster Abbey; - Fire: Notre Dame cathedral fire which happened on April 15th, 2019; - Bombing: Boston Marathon bombing which happened on April 15th, 2013; - National Museum: Brazilian national museum fire which happened on September 2nd, 2018; - Bangladesh Fire: Bangladesh fire which happened on February 20th, 2019. This work was funded by the Brazilian funding agency CAPES under the grant Capes Deep-Eyes, and the São Paulo Research Agency FAPESP under the grant DéjàVu 2017/12646-3 and grants 2013/08293-7, 2015/11937-9, 2017/16246-0, 2017/16871-1, 2018/16214-3, 2018/05668-3 and 2018/16548-9. Additional funding was awarded by the CNPq under grants 400487/2016-0, 425340/2016-3, 304380/2018-0, and 304497/2018-5. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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