Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Victor Arellano"'
Autor:
Sanchez-Lopez, Jose Luis, Arellano-Quintana, Victor, Tognon, Marco, Campoy, Pascual, Franchi, Antonio
Publikováno v:
IFAC-PapersOnLine; July 2017, Vol. 50 Issue: 1 p16003-16008, 6p
Autor:
Maya Baughn, Victor Arellano, Brieanna Hawthorne-Crosby, Joseph S Lightner, Amanda Grimes, Gregory King
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0273880 (2022)
Falls are a critical public health issue among older adults. One notable factor contributing to falls in older adults is a deterioration of the structures supporting balance and overall balance control. Preliminary evidence suggests older adults who
Externí odkaz:
https://doaj.org/article/88f12443857f43fc813909048f96a5f5
Autor:
Victor Manuel Arellano-Quintana, Antonio Franchi, Jose Luis Sanchez-Lopez, Marco Tognon, Pascual Campoy
Publikováno v:
IFAC-Papers
This paper presents the description and experimental results of a versatile Visual Marker based Multi-Sensor Fusion State Estimation that allows to combine a variable optional number of sensors and positioning algorithms in a loosely-coupling fashion
Publikováno v:
Computers & Graphics
Over the last decade, transient imaging has had a major impact in the area of computer graphics and computer vision. The hability of analyzing light propagation at picosecond resolution has enabled a variety of applications such as non-line of sight
Publikováno v:
In Waste Management 2006 26(5):546-556
Publikováno v:
Neurocomputing. 233:104-115
In this paper we present a Complex-Valued Recurrent Neural Network (CVRNN), trained with a recursive Levenberg-Marquardt (LM) learning algorithm in the complex domain, applying it to the problem of dynamic system identification, and to an adaptive ne
Autor:
Victor Arellano, Adrian Jarabo
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
instname
On the foundations of many rendering algorithms it is the symmetry between the path traversed by light and its adjoint path starting from the camera. However, several effects, including polarization or ¿uorescence, break that symmetry, and are de¿n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43845d7273a7992ce755cc6b0507dab9
http://zaguan.unizar.es/record/70739
http://zaguan.unizar.es/record/70739
Publikováno v:
IEEE 2018 International Conference on Robotics and Automation (ICRA)
IEEE 2018 International Conference on Robotics and Automation (ICRA), May 2018, Brisbane, Australia
HAL
ICRA
IEEE 2018 International Conference on Robotics and Automation (ICRA), May 2018, Brisbane, Australia
HAL
ICRA
International audience; This paper presents the OTHex platform for aerial manipulation developed at LAAS–CNRS. The OTHex is probably the first multi-directional thrust platform designed to act as Flying Assistant which can aid human operators and/o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::536e8426a6413a7c30df97febbad161a
https://hal.laas.fr/hal-01716845
https://hal.laas.fr/hal-01716845
Publikováno v:
SIGGRAPH Posters
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Recent works have demonstrated non-line of sight (NLOS) reconstruction by using the time-resolved signal from multiply scattered light. These works combine ultrafast imaging systems with computation, which back-projects the recorded space-time signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0bff344f5cb7ac5dd36d44c2345f2f0
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319270593
MICAI (1)
MICAI (1)
The present article gives an extension of the real-valued recurrent neural network topology and its Back-Propagation (BP) learning to the complex-valued one. The BP learning is achieved by the use of diagrammatic rules to obtain the adjoint recurrent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::103f8f2a793fdf5fa20c0ac051ebc4e2
https://doi.org/10.1007/978-3-319-27060-9_27
https://doi.org/10.1007/978-3-319-27060-9_27