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pro vyhledávání: '"similarity preserving hashing"'
Akademický článek
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Publikováno v:
IET Computer Vision, Vol 12, Iss 5, Pp 616-622 (2018)
As a promising alternative to traditional search techniques, hashing‐based approximate nearest neighbour search provides an applicable solution for big data. Most existing efforts are devoted to finding better projections to preserve the neighbouri
Externí odkaz:
https://doaj.org/article/96f7a9ec05ef4dc3a2c4857ca0edb475
Publikováno v:
IEEE Access, Vol 6, Pp 27796-27808 (2018)
Cross-modal hashing has drawn considerable interest in multimodal retrieval due to the explosive growth of big data on multimedia. However, the existing methods mainly focus on unified hash codes learning and investigate the local geometric structure
Externí odkaz:
https://doaj.org/article/2ecf76e5d97f4f3e85714665b40fd00d
Machine Learning is frequently ranked as one of the most promising technologies in several application domains but falls short when the data necessary for training is privacy-sensitive and can thus not be used. We address this problem by extending th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af284d2e3753d1625e79215d78401f0b
Publikováno v:
IEEE Access, Vol 6, Pp 27796-27808 (2018)
Cross-modal hashing has drawn considerable interest in multimodal retrieval due to the explosive growth of big data on multimedia. However, the existing methods mainly focus on unified hash codes learning and investigate the local geometric structure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2edd74b396045a80f74f0eb203ce903
https://doi.org/10.1109/access.2018.2832141
https://doi.org/10.1109/access.2018.2832141
Akademický článek
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Publikováno v:
ISSE
Naik, N, Jenkins, P & Savage, N 2020, A ransomware detection method using fuzzy hashing for mitigating the risk of occlusion of information systems . in 2019 International Symposium on Systems Engineering (ISSE) . IEEE ISSE Proceedings Series, Institute of Electrical and Electronics Engineers, 2019 International Symposium on Systems Engineering (ISSE), Edinburgh, United Kingdom, 1/10/19 . https://doi.org/10.1109/ISSE46696.2019.8984540
Naik, N, Jenkins, P & Savage, N 2020, A ransomware detection method using fuzzy hashing for mitigating the risk of occlusion of information systems . in 2019 International Symposium on Systems Engineering (ISSE) . IEEE ISSE Proceedings Series, Institute of Electrical and Electronics Engineers, 2019 International Symposium on Systems Engineering (ISSE), Edinburgh, United Kingdom, 1/10/19 . https://doi.org/10.1109/ISSE46696.2019.8984540
Today, a significant threat to organisational information systems is ransomware that can completely occlude the information system by denying access to its data. To reduce this exposure and damage from ransomware attacks, organisations are obliged to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ab6e6e4cadcc966a6ee4fd575343282
https://doi.org/10.1109/isse46696.2019.8984540
https://doi.org/10.1109/isse46696.2019.8984540
Publikováno v:
3DV
As integration of depth sensing into mobile devices is likely forthcoming, we investigate on merging appearance and shape information for mobile visual search. Accordingly, we propose an RGB-D search engine architecture that can attain high recogniti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e78735c3b81539591e42a175125fd146
http://hdl.handle.net/11585/545422
http://hdl.handle.net/11585/545422
Autor:
Gayoso Martínez, Víctor, Hernández Álvarez, Fernando, Hernández Encinas, Luis, Sánchez Ávila, Carmen
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
7 páginas, 5 tablas, 2 algoritmos. Comunicación presentada en: The 2015 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'15). The 2015 International Conference on Security and Management (SAM'15), Las Vegas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ca82f080486e26d345e698498bbb19e5
http://hdl.handle.net/10261/135088
http://hdl.handle.net/10261/135088
Akademický článek
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