Zobrazeno 1 - 10
of 109
pro vyhledávání: '"H. Giraldo"'
Publikováno v:
Revista Argentina de Radiología, Vol 81, Iss 2, Pp 105-109 (2017)
La enfermedad de Hirayama o atrofia muscular espinal juvenil no progresiva de las extremidades superiores es una clase de mielopatía relacionada con la flexión del cuello. Afecta principalmente a hombres jóvenes (entre 15 y 25 años) y se caracter
Externí odkaz:
https://doaj.org/article/ad7681b563db47218819850dc267d83d
Autor:
J. La Mura, A. Holguín Díaz, M. Trujillo, H. Giraldo, C. Parada, J. García, F. Lamus, A. Vinciguerra, R. Muñóz
Publikováno v:
Revista Argentina de Radiología, Vol 79, Iss 1, p 59 (2015)
Externí odkaz:
https://doaj.org/article/c0e6e1d5c7374f4f8865f273da8ecfef
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
IEEE Transactions on Signal and Information Processing over Networks. 8:201-214
Graph Signal Processing (GSP) is an emerging research field that extends the concepts of digital signal processing to graphs. GSP has numerous applications in different areas such as sensor networks, machine learning, and image processing. The sampli
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2021, Montreal, Canada. pp.225-233, ⟨10.1109/ICCVW54120.2021.00030⟩
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), Oct 2021, Montreal, Canada. pp.225-233, ⟨10.1109/ICCVW54120.2021.00030⟩
Moving Object Detection (MOD) is a fundamental step for many computer vision applications. MOD becomes very challenging when a video sequence captured from a static or moving camera suffers from the challenges: camouflage, shadow, dynamic backgrounds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4521b62d282040ca5b191dd78b219732
http://arxiv.org/abs/2207.06440
http://arxiv.org/abs/2207.06440
Akademický článek
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Autor:
Jhony H. Giraldo, Thierry Bouwmans
Publikováno v:
Artificial Intelligence ISBN: 9781003140351
Background subtraction is one of the fundamental tasks for many robotics and computer vision applications. Recently, graph signal-processing techniques have attained significant attention, leading to new advances and insights in the field of backgrou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::181d175b000ca0d2e2b5092b44fd1975
https://doi.org/10.1201/9781003140351-18
https://doi.org/10.1201/9781003140351-18
Publikováno v:
Revista Colombiana de Ciencias Pecuarias, Vol 20, Iss 3, Pp 304-311 (2007)
A través del presente estudio se analizaron plasmas sanguíneos de seis especies, incluyendo el humano tanto en estado gestante como no gestante, identificándose por primera vez en plasma, la glicoproteína α2-Macroglobulina (α2-M) de ovino de pe
Externí odkaz:
https://doaj.org/article/1743bfdb4fdb4b44a25c68f4223fc9c6
Autor:
Giovanni Cárdenas, Viviana Vidal-Astudillo, Harrison López, César H. Giraldo, Catalina Ruíz, Carlos A. Saavedra-Rodríguez, Padu Franco, Catalina Gutiérrez-Chacón
Publikováno v:
Biota Colombiana, Vol 15, Iss 1 (2014)
The dry enclave of Amaime River is one of the few places that remain as Tropical Dry Forest in the Valle del Cauca department, which is considered one of the most threatened ecosystems in the Neotropics. The site has been heavily transformed and thre
Externí odkaz:
https://doaj.org/article/7aefd040b52b48fbb36ff26b526b034a
Publikováno v:
Frontiers of Computer Vision
International Workshop on Frontiers of Computer Vision, IW-FCV 2021
International Workshop on Frontiers of Computer Vision, IW-FCV 2021, Feb 2021, Daegu, South Korea. pp.3-16, ⟨10.1007/978-3-030-81638-4_1⟩
Communications in Computer and Information Science ISBN: 9783030816377
IW-FCV
International Workshop on Frontiers of Computer Vision, IW-FCV 2021
International Workshop on Frontiers of Computer Vision, IW-FCV 2021, Feb 2021, Daegu, South Korea. pp.3-16, ⟨10.1007/978-3-030-81638-4_1⟩
Communications in Computer and Information Science ISBN: 9783030816377
IW-FCV
Foreground segmentation is a fundamental problem in many artificial intelligence and computer vision based applications. However, robust foreground segmentation with high precision is still a challenging problem in complex scenes. Currently, many of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a22512da0844a67e7400cbd97fb5701
https://hal.archives-ouvertes.fr/hal-03423279
https://hal.archives-ouvertes.fr/hal-03423279