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pro vyhledávání: '"Caroline Mazini Rodrigues"'
Autor:
Zanoni Dias, Gabriel Bertocco, Rafael Padilha, Anderson Rocha, Caroline Mazini Rodrigues, Fernanda A. Andaló
Publikováno v:
IEEE Security & Privacy. 18:23-32
We discuss the problem of restructuring visual data from different heterogeneous sources to analyze an event of interest. We present X-coherence: a pipeline seeking to organize and represent pieces of data, tying them coherently with the real world a
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 whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a9185429569a84a6bacea6930ff5888
Autor:
Caroline Mazini Rodrigues
Publikováno v:
Biblioteca Digital de Teses e Dissertações da Universidade Estadual de Campinas (UNICAMP)
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Universidade Estadual de Campinas (UNICAMP)
instacron:UNICAMP
Orientadores: Zanoni Dias, Anderson de Rezende Rocha Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação Resumo: Uma diversidade de eventos, como atos terroristas e catástrofes naturais, ocorrem frequentemente em
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4307976e5d35784ebe8400a7d10d883
Publikováno v:
WIFS
Different events, such as terrorist acts and natural catastrophes, frequently occur across the world. The availability of images on the internet can help to understand events. However, manually selecting representative (helpful) images from a massive