Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Pérez Grassi, A."'
Autor:
Lars Lehmann, Danny Heinz, Anne Goy, Julian B. Seuffert, Roman Siedel, André Apitzsch, Gangolf Hirtz, Ana Pérez Grassi, Norbert Nestler, Jingrui Yu, Tobias Scheck
Publikováno v:
Current Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 388-391 (2020)
In recent years, the demographic change in conjunction with a lack of professional caregivers led to retirement homes reaching capacity. The Alzheimer Disease International stated that over 50 million people suffered from dementia in 2019 worldwide a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::869e1fa28e85f239fb35703f560f7f04
https://doi.org/10.1515/cdbme-2020-3100
https://doi.org/10.1515/cdbme-2020-3100
Publikováno v:
In Information Fusion 2011 12(4):284-292
Publikováno v:
In Measurement 2011 44(6):1053-1058
Publikováno v:
VISIGRAPP (5: VISAPP)
Synthetic images are one of the most promising solutions to avoid high costs associated with generating annotated datasets to train supervised convolutional neural networks (CNN). However, to allow networks to generalize knowledge from synthetic to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a87174f152d756778fd6d52ddd53149e
https://doi.org/10.5220/0010202503190327
https://doi.org/10.5220/0010202503190327
Publikováno v:
VISIGRAPP (5: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10d880ae54dc02cf2450eec3ea14ff41
https://doi.org/10.5220/0010324808090816
https://doi.org/10.5220/0010324808090816
Publikováno v:
Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
A Convolutional Neural Network (CNN) is sometimes confronted with objects of changing appearance ( new instances) that exceed its generalization capability. This requires the CNN to incorporate new knowledge, i.e., to learn incrementally. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88ba4b546e00f3581abd66c6f084750b
https://doi.org/10.5220/0008871302170224
https://doi.org/10.5220/0008871302170224
Publikováno v:
Information Fusion. 12:284-292
A novel approach to detect pedestrians and to classify them according to their moving direction and relative speed is presented in this paper. This work focuses on the recognition of pedestrian lateral movements, namely: walking and running in both d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d667696b25de71d8fe9c86a03d4a790
https://doi.org/10.1016/j.inffus.2010.06.002
https://doi.org/10.1016/j.inffus.2010.06.002
Publikováno v:
Measurement. 44:1053-1058
Spectrometers based on linear detector arrays have proven to be capable of precisely monitoring fiber Bragg grating (FBG) signals. However, anti-aliasing inherently is only poorly integrated. Thus, these devices do not suffice for providing a reliabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cadae0dbd66baa40b31c08ba4efa5abc
https://doi.org/10.1016/j.measurement.2011.03.016
https://doi.org/10.1016/j.measurement.2011.03.016
Autor:
Ana Pérez Grassi, Fernando Puente León
Publikováno v:
teme. 75:455-463
Manche Oberflächen können nur zuverlässig inspiziert werden, wenn man sie mit variabler Beleuchtung beobachtet. Die automatische Umsetzung dieses Ansatzes erfordert die Erfassung und Verarbeitung von Bildserien. Jedes Bild der Serie bildet den gle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4276e819b7b36513aa79763017e170c4
https://doi.org/10.1524/teme.2008.0887
https://doi.org/10.1524/teme.2008.0887
Publikováno v:
Optical Sensing and Detection II.
Wind power is one of the most promising green energy sources, especially when produced in offshore power plants. Corrective operations in wind turbines cause a considerable part of the maintenance costs of such plants. One preventive action for reduc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b891cd6601bac1a42148268a2d2e606f
https://doi.org/10.1117/12.922628
https://doi.org/10.1117/12.922628