Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Ampeliotis, Dimitris"'
In this paper, we propose a novel methodology for addressing the hyperspectral image deconvolution problem. This problem is highly ill-posed, and thus, requires proper priors (regularizers) to model the inherent spectral-spatial correlations of the H
Externí odkaz:
http://arxiv.org/abs/2306.06378
In this study the problem of Federated Learning (FL) is explored under a new perspective by utilizing the Deep Equilibrium (DEQ) models instead of conventional deep learning networks. We claim that incorporating DEQ models into the federated learning
Externí odkaz:
http://arxiv.org/abs/2305.18646
Publikováno v:
IEEE Transactions on Image Processing ( Volume: 32) 22 February 2023 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:
http://arxiv.org/abs/2203.15901
The problem of computing a common point that lies in the intersection of a finite number of closed convex sets, each known to one agent in a network, is studied. This issue, known as the distributed convex feasibility problem or the distributed const
Externí odkaz:
http://arxiv.org/abs/2008.03577
Autor:
Tsakas, Anastasios, Tselios, Christos, Ampeliotis, Dimitris, Politi, Christina (Tanya), Alexandropoulos, Dimitris
Publikováno v:
In Results in Optics December 2021 5
Publikováno v:
Algorithms; Sep2024, Vol. 17 Issue 9, p375, 19p
Akademický článek
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Low complexity multiple acoustic source localization in sensor networks based on energy measurements
Publikováno v:
In Signal Processing 2010 90(4):1300-1312
Akademický článek
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Autor:
Ampeliotis Dimitris, Berberidis Kostas
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2006, Iss 1, p 025686 (2006)
Soft interference cancellers (SICs) have been proposed in the literature as a means for reducing the computational complexity of the so-called turbo equalization receiver architecture. Soft-input-soft output (SISO) equalization algorithms based on li
Externí odkaz:
https://doaj.org/article/edccbc48a8cb4281b7c7b2de33ade944