Zobrazeno 1 - 10
of 126
pro vyhledávání: '"Sanniti di Baja, Gabriella"'
Publikováno v:
In Expert Systems With Applications 15 March 2018 94:1-10
Publikováno v:
In Pattern Recognition April 2016 52:148-159
Publikováno v:
In Computer Vision and Image Understanding December 2014 129:42-51
Autor:
Arcelli, Carlo, Brancati, Nadia, Frucci, Maria, Ramella, Giuliana, Sanniti di Baja, Gabriella
Publikováno v:
In Signal Processing 2011 91(1):61-71
Publikováno v:
In Image and Vision Computing 2009 27(6):666-672
Autor:
Timmerman, Derrick, Bennabhaktula, Swaroop, Alegre, Enrique, Azzopardi, George, De Marsico, Maria, Sanniti di Baja, Gabriella, Fred, Ana
Publikováno v:
Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods-ICPRAM, 417-425
STARTPAGE=417;ENDPAGE=425;TITLE=Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods-ICPRAM
STARTPAGE=417;ENDPAGE=425;TITLE=Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods-ICPRAM
The identification of source cameras from videos, though it is a highly relevant forensic analysis topic, has been studied much less than its counterpart that uses images. In this work we propose a method to identify the source camera of a video base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::dbcaf71ccbdb1c4d3e908aa5b0b48891
https://research.rug.nl/en/publications/b6908a7a-9611-4615-887d-025691dc1195
https://research.rug.nl/en/publications/b6908a7a-9611-4615-887d-025691dc1195
Autor:
Münch, Maximilian, Raab, Christoph, Biehl, Michael, Schleif, Frank-Michael, De Marsico, Maria, Sanniti di Baja, Gabriella, Fred, Ana
Publikováno v:
ICPRAM
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), 1, 43-51
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2020), 1, 43-51
Domain-specific proximity measures, like divergence measures in signal processing or alignment scores in bioinformatics, often lead to non-metric, indefinite similarities or dissimilarities. However, many classical learning algorithms like kernel mac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af40fd90f8f190c6a08b49a823e2c0a8
https://doi.org/10.5220/0008955100430051
https://doi.org/10.5220/0008955100430051
Publikováno v:
In Journal of Visual Languages and Computing 2007 18(5):470-483
Publikováno v:
In Image and Vision Computing 2007 25(6):1021-1031
Publikováno v:
In Computer Vision and Image Understanding 2003 90(3):242-257