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Št. zadetkov: 3
Izvirni znanstveni članek
Oznake: astronomical databases;data analysis;statistics;image processing;
Aims: Traditional star-galaxy classification techniques often rely on feature estimation from catalogs, a process susceptible to introducing inaccuracies, thereby potentially jeopardizing the classification’s reliability. Certain galaxies, especially those not manifesting as extended sources, can be ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: data analysis;image processing;astronomical databases;
Aims: In astronomy, machine learning has been successful in various tasks such as source localisation, classification, anomaly detection, and segmentation. However, feature regression remains an area with room for improvement. We aim to design a network that can accurately estimate sources' features ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: astronomical databases;data analysis;image processing;
Aims: With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable source localization is paramount. We present AutoSourceID-Light (ASID-L), an innovative framework that uses computer vision techniq ...
Leto: 2022 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Št. zadetkov: 3
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