Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Denis C. Ilie-Ablachim"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 168-176 (2024)
We propose sparse representation and dictionary learning algorithms for dictionaries whose atoms are characterized by Gaussian probability distributions around some central atoms. This extension of the space covered by the atoms permits a better char
Externí odkaz:
https://doaj.org/article/4dbf3f67a53a444ab61e0062a30f8a1c
Autor:
Constantin-Cristian Topriceanu, MD, Mashael Al-Farih, George Joy, MD, Fiona Chan, Matt Webber, Denis C. Ilie-Ablachim, Hunain Shiwani, MD, Stephen Pettit, Ben O’Brien, Alun Hughes, MD, PhD, Konstantinos Savvatis, Saidi Mohiddin, William Moody, Richard P Steeds, James Moon, MD, Paolo E Puddu, Andrea Barison, Paolo Piras, Gabriella Captur, MD, PhD
Publikováno v:
Journal of Cardiovascular Magnetic Resonance, Vol 26, Iss , Pp 100442- (2024)
Externí odkaz:
https://doaj.org/article/d46a5668f7104fdc822d1872f370e848
Publikováno v:
CSCS
In this paper we present a new classification method based on Dictionary Learning (DL). The main contribution consists of a kernel version of incoherent DL, derived from its standard linear counterpart. We also propose an improvement of the AK-SVD al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c1f63303876a7243ee90351466218ef
http://arxiv.org/abs/2307.08796
http://arxiv.org/abs/2307.08796
Autor:
Constantin-Cristian Topriceanu, Mashael Al-Farih, Denis C Ilie-Ablachim, Matt Webber, George Joy, Stephen Pettit, Ben O’Brien, Alun D Hughes, Konstantinos Savvatis, Saidi Mohiddin, William Moody, Rick Steeds, Paolo E Puddu, Paolo Piras, James C Moon, Andrea Barison, Gabriella Captur
Publikováno v:
Abstracts.
Publikováno v:
Signal Processing. 209:109019
Autor:
Constantin-Cristian Topriceanu, Da-Yea Song, Sotirios Bisdas, Maria Kinali, Denis C. Ilie-Ablachim
Publikováno v:
Neuroradiology. 63:2057-2072
Autism Spectrum Disorder (ASD) is diagnosed through observation or interview assessments, which is time-consuming, subjective, and with questionable validity and reliability. Thus, we aimed to evaluate the role of machine learning (ML) with neuroimag
Publikováno v:
2016 15th RoEduNet Conference: Networking in Education and Research.
MoniSen aims to introduce a new granularity level for precision agriculture monitoring applications, with focus on monitoring environmental parameters for green house applications. The final objective is to empower farmers to take the next step towar