Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alexandros Gkillas"'
Autor:
Nikos Piperigkos, Alexandros Gkillas, Gerasimos Arvanitis, Stavros Nousias, Aris Lalos, Apostolos Fournaris, Panagiotis Radoglou-Grammatikis, Panagiotis Sarigiannidis, Konstantinos Moustakas
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Cyber–physical systems (CPSs) are evolving from individual systems to collectives of systems that collaborate to achieve highly complex goals, realizing a cyber–physical system of systems (CPSoSs) approach. They are heterogeneous systems comprisi
Externí odkaz:
https://doaj.org/article/f50e3791084a4c2c80cd4d0a66cb148f
Publikováno v:
IEEE Transactions on Image Processing. 32:1513-1528
In this study, the problem of computing a sparse representation of multi-dimensional visual data is considered. In general, such data e.g., hyperspectral images, color images or video data consists of signals that exhibit strong local dependencies. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4cc6bb06fac118bc0671bd623fd999d
https://doi.org/10.1109/tip.2023.3245323
https://doi.org/10.1109/tip.2023.3245323
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::465dd10fc3e7cb04b511423bff668423
https://doi.org/10.1109/icassp49357.2023.10095286
https://doi.org/10.1109/icassp49357.2023.10095286
Autor:
Alexandros Gkillas, Aris S. Lalos
Publikováno v:
2022 IEEE 20th International Conference on Industrial Informatics (INDIN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e16b3c0ec78cbd8680b3ae8e0627cee5
https://doi.org/10.1109/indin51773.2022.9976093
https://doi.org/10.1109/indin51773.2022.9976093
Publikováno v:
Computers and Electronics in Agriculture. 209:107833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a7684c01776d33c385a765235972cfc
https://doi.org/10.1016/j.compag.2023.107833
https://doi.org/10.1016/j.compag.2023.107833
Publikováno v:
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b46104c9f8b14b8b3d02abae52db65f7
https://doi.org/10.1109/ivmsp54334.2022.9816182
https://doi.org/10.1109/ivmsp54334.2022.9816182
Publikováno v:
ICIP
Given two datasets that belong to different feature spaces and both correspond to the same underlying phenomenon, the scope of coupled dictionary learning is to compute two dictionaries, one for each dataset, so that each dataset is approximated usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bd1981cb8cc632a83b33645800bafaa
https://doi.org/10.1109/icip40778.2020.9191025
https://doi.org/10.1109/icip40778.2020.9191025