Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Evaggelia Tsiligianni"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-14 (2017)
Abstract Performance guarantees for recovery algorithms employed in sparse representations, and compressed sensing highlights the importance of incoherence. Optimal bounds of incoherence are attained by equiangular unit norm tight frames (ETFs). Alth
Externí odkaz:
https://doaj.org/article/5af0ce591b9d4372be0601e9b8f04138
Autor:
Xingzhe Xie, Ivana Semanjski, Sidharta Gautama, Evaggelia Tsiligianni, Nikos Deligiannis, Raj Thilak Rajan, Frank Pasveer, Wilfried Philips
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 6, Iss 12, p 389 (2017)
The impact of urban air pollution on the environments and human health has drawn increasing concerns from researchers, policymakers and citizens. To reduce the negative health impact, it is of great importance to measure the air pollution at high spa
Externí odkaz:
https://doaj.org/article/ec13440efa4c486db9d9601148e0adaf
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:5830-5845
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa657cc9fd7ea3a943c6f500e07f58bb
https://doi.org/10.1109/tcsvt.2022.3163649
https://doi.org/10.1109/tcsvt.2022.3163649
Autor:
Tien Huu Do, Jelle Hofman, Nikos Deligiannis, Evaggelia Tsiligianni, Xuening Qin, Valerio Panzica La Manna, Wilfried Philips
Publikováno v:
IEEE Internet of Things Journal. 7:8943-8955
Internet-of-Things (IoT) technologies incorporate a large number of different sensing devices and communication technologies to collect a large amount of data for various applications. Smart cities employ IoT infrastructures to build services useful
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df6f29fd9a37df99e9f72ae1518c24d5
https://doi.org/10.1109/jiot.2020.2999446
https://doi.org/10.1109/jiot.2020.2999446
Publikováno v:
ICASSP
Tracking the performance of a financial index by selecting a subset of assets composing the index is a problem that raises several difficulties due to the large size of the stock market. Typically, optimisation algorithms with high complexity are emp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6524491965c5286ec9737f87a44e9e7
https://doi.org/10.1109/icassp39728.2021.9414430
https://doi.org/10.1109/icassp39728.2021.9414430
Publikováno v:
EUSIPCO
Vrije Universiteit Brussel
Vrije Universiteit Brussel
Multimodal alias, guided, image super-resolution (SR) refers to the reconstruction of a high-resolution (HR) version of a low-resolution (LR) image with the aid of an HR image from another image modality. Common approaches for the SR problem include
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86e5ee4eaad049ab53dd36f459e9f6a3
https://doi.org/10.23919/eusipco47968.2020.9287361
https://doi.org/10.23919/eusipco47968.2020.9287361
Autor:
Iman Marivani, Nikos Deligiannis, Evaggelia Tsiligianni, Matina Ch. Zerva, Lisimachos P. Kondi
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872304
MICCAI (6)
MICCAI (6)
In medical image acquisition, hardware limitations and scanning time constraints result in degraded images. Super-resolution (SR) is a post-processing approach aiming to reconstruct a high-resolution image from its low-resolution counterpart. Recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c988c5590df4f24a32f67d67728cd60d
https://doi.org/10.1007/978-3-030-87231-1_41
https://doi.org/10.1007/978-3-030-87231-1_41
Publikováno v:
ICIP
Joint image super-resolution (SR) refers to the reconstruction of a high-resolution image from its low-resolution version with the aid of a high-resolution image from another modality. Inspired by the recent success of recurrent neural networks in si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97dc9492aa90b7c5d75662b824a0ffc2
https://doi.org/10.1109/icip40778.2020.9190644
https://doi.org/10.1109/icip40778.2020.9190644
Autor:
Ljiljana Platisa, Tien Huu Do, Nikos Deligiannis, Valerio Panzica La Manna, Jelle Hofman, Evaggelia Tsiligianni, Wilfried Philips, Xuening Qin
Publikováno v:
Ghent University Academic Bibliography
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030510046
S-CUBE 2019, 10th EAI International Conference on Sensor Systems and Software, Proceedings
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030510046
S-CUBE 2019, 10th EAI International Conference on Sensor Systems and Software, Proceedings
Air pollution is becoming an important environmental issue and attracting increasing public attention. In urban environments, air pollution changes very dynamically both with time and space and is affected by a large variety of factors such as road t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfc7ec2c2871e9e6bbf3f22dcabbcaa0
https://doi.org/10.1007/978-3-030-51005-3_24
https://doi.org/10.1007/978-3-030-51005-3_24
The reconstruction of a high resolution image given a low resolution observation is an ill-posed inverse problem in imaging. Deep learning methods rely on training data to learn an end-to-end mapping from a low-resolution input to a high-resolution o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0361c7f2c3dcd1317868eebfece015aa
http://arxiv.org/abs/2001.07575
http://arxiv.org/abs/2001.07575