Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nearest Neighborhood Classification"'
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 11, Iss 1, Pp 2540-2568 (2020)
The primary objective of these studies was to quantitatively assess the ground deformation velocities and rates and their natural and man-made controlling factors as the potential risks along the seismically active 70 km section of buried Baku-Tbilis
Externí odkaz:
https://doaj.org/article/8ba2caa83cf74fd0a1a1c35c3c0a1100
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 4, Iss 3, Pp 773-784 (2014)
Texture descriptors have an important role in recognizing face images. However, almost all the existing local texture descriptors use nearest neighbors to encode a texture pattern around a pixel. But in face images, most of the pixels have similar ch
Externí odkaz:
https://doaj.org/article/0350350556264d63955482a94546570c
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 3, Iss 4, Pp 605-611 (2013)
Texture feature plays a predominant role in recognizing face images. However different persons can have similar texture features that may degrade the system performance. Hence in this paper, the problem of face similarity is addressed by proposing a
Externí odkaz:
https://doaj.org/article/f603c489e6814532b932fedab21da674
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 11, Iss 1, Pp 2540-2568 (2020)
The primary objective of these studies was to quantitatively assess the ground deformation velocities and rates and their natural and man-made controlling factors as the potential risks along the seismically active 70 km section of buried Baku-Tbilis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::339da31808ee89b0c05dd50b384e473e
https://doi.org/10.1080/19475705.2020.1853611
https://doi.org/10.1080/19475705.2020.1853611
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 4, Iss 3, Pp 773-784 (2014)
Texture descriptors have an important role in recognizing face images. However, almost all the existing local texture descriptors use nearest neighbors to encode a texture pattern around a pixel. But in face images, most of the pixels have similar ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f906408e98c94f9bfb8cb1f7de43227
http://ictactjournals.in/paper/IJIVP_Paper_8_773_784.pdf
http://ictactjournals.in/paper/IJIVP_Paper_8_773_784.pdf
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 3, Iss 4, Pp 605-611 (2013)
Texture feature plays a predominant role in recognizing face images. However different persons can have similar texture features that may degrade the system performance. Hence in this paper, the problem of face similarity is addressed by proposing a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e8e66c97e579ba5594670149409c9f8
https://doi.org/10.21917/ijivp.2013.0085
https://doi.org/10.21917/ijivp.2013.0085
Autor:
Gürkan, Serkan
Balıkesir Üniversitesi, Fen Bilimleri Enstitüsü, Elektrik-Elektronik Mühendisliği, Ana Bilim Dalı
Bu çalışmanın amacı; cisiml erin meydana getirdikleri manyetik anomalilerden faydalanarak, yeraltında gömülü vaziyette bulunan cisi
Bu çalışmanın amacı; cisiml erin meydana getirdikleri manyetik anomalilerden faydalanarak, yeraltında gömülü vaziyette bulunan cisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4609::63f35720b7619c8413353b5efd19bbac
https://hdl.handle.net/20.500.12462/3149
https://hdl.handle.net/20.500.12462/3149
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.