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Št. zadetkov: 13
Objavljeni znanstveni prispevek na konferenci
Oznake: deep neural network;cosmic-rays;CTA;classification;
The upcoming Cherenkov Telescope Array (CTA) will dramatically improve the point-source sensitivity compared to the current Imaging Atmospheric Cherenkov Telescopes (IACTs). One of the key science projects of CTA will be a survey of the whole Galactic plane (GPS) using both southern and northern obs ...
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
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)
Video in druga učna gradiva
Oznake: computer science;machine learning;regression;bayesian learning
One of the most common problems in machine learning and statistics consists of estimating the mean response X.beta from a vector of observations y assuming y=X.beta+epsilon where X is known, beta is a vector of parameters of interest and epsilon a vector of stochastic errors. We are particularly int ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;network analysis;social networks;machine learning;bayesian learning;structured data
We develop a novel Bayesian nonparametric model for random bipartite graphs. The model is based on the theory of completely random measures and is able to handle a potentially infinite number of nodes. We show that the model has appealing properties and in particular it may exhibit a power-law behav ...
Leto: 2012 Vir: videolectures.net
Objavljeni povzetek znanstvenega prispevka na konferenci
Oznake: machine learning;gamma rays;
Finding (or not) dark matter in gamma-ray images of the Galactic center with computer vision
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: gamma-ray astrophysics;dark matter;Galactic center;
Mind the gap
Leto: 2023 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Ni določena
Oznake: slovenska dramatika;18.st.;
Leto: 1840 Vir: dLib.si Digitalna knjižnica Slovenije
Ni določena
Oznake: slovenska dramatika;18.st.;
Leto: 1790 Vir: dLib.si Digitalna knjižnica Slovenije
Št. zadetkov: 13
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