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http://repositorio.unicamp.br/jspui/handle/REPOSIP/353467
| Type: | Artigo |
| Title: | Connecting the dots : toward accountable machine-learning printer attribution methods |
| Author: | Navarro, Luiz C. Navarro, Alexandre K. W. Rocha, Anderson Dahab, Ricardo |
| Abstract: | Digital forensics is rapidly evolving as a direct consequence of the adoption of machine-learning methods allied with ever-growing amounts of data. Despite the fact that these methods yield more consistent and accurate results, they may face adoption hind |
| Subject: | Aprendizado de máquina Análise forense de imagens digitais Sistemas de reconhecimento de padrões Inteligência artificial Machine learning Digital image forensics Pattern recognition systems Artificial intelligence |
| Country: | Reino Unido |
| Editor: | Elsevier |
| Rights: | Fechado |
| Identifier DOI: | doi.org/10.1016/j.jvcir.2018.04.002 |
| Address: | https://www.sciencedirect.com/science/article/pii/S1047320318300786 |
| Date Issue: | 2018 |
| Appears in Collections: | IC - Artigos e Outros Documentos |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 2-s2.0-85045715137.pdf | 3.63 MB | Adobe PDF | View/Open |
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