Zobrazeno 1 - 10
of 6 957
pro vyhledávání: '"A. Gajic"'
Autor:
Dragović, Vladimir, Gajić, Borislav
We provide a geometric approach to the lasso. We study the tangency of the level sets of the least square objective function with the polyhedral boundary sets $B(t)$ of the parameters in $\mathbb R^p$ with the $\ell_1$ norm equal to $t$. Here $t$ dec
Externí odkaz:
http://arxiv.org/abs/2407.08058
Autor:
Gajic, Dejan, Warnick, Claude M.
We introduce a rigorous framework for defining quasinormal modes on stationary, asymptotically flat spacetimes as isolated eigenvalues of the infinitesimal generator of time translations. We consider time functions corresponding to a foliation of asy
Externí odkaz:
http://arxiv.org/abs/2407.04098
Inhibitory interneurons, ubiquitous in the central nervous system, form networks connected through both chemical synapses and gap junctions. These networks are essential for regulating the activity of principal neurons, especially by inducing tempora
Externí odkaz:
http://arxiv.org/abs/2402.14592
Autor:
Gajic, Dejan, Van de Moortel, Maxime
We provide a definitive treatment, including sharp decay and the precise late-time asymptotic profile, for generic solutions of linear wave equations with a (singular) inverse-square potential in (3+1)-dimensional Minkowski spacetime. Such equations
Externí odkaz:
http://arxiv.org/abs/2401.13047
Autor:
Arsenović, Miloš, Gajić, Jelena
We obtain Schwarz-Pick lemma for $(\alpha, \beta)$-harmonic functions u in the disc, where $\alpha$ and $\beta$ are complex parameters satisfying $\Re \alpha + \Re \beta > -1$. We prove sharp estimate of derivative at the origin for such functions in
Externí odkaz:
http://arxiv.org/abs/2312.06894
Publikováno v:
PVLDB, 17(8): 2064 - 2076, 2024
Prefetching is a crucial technique employed in traditional databases to enhance interactivity, particularly in the context of data exploitation. Data exploration is a query processing paradigm in which users search for insights buried in the data, of
Externí odkaz:
http://arxiv.org/abs/2310.14666
Learning relies on coordinated synaptic changes in recurrently connected populations of neurons. Therefore, understanding the collective evolution of synaptic connectivity over learning is a key challenge in neuroscience and machine learning. In part
Externí odkaz:
http://arxiv.org/abs/2308.11567
Autor:
Gojić, Gorana, Petrović, Veljko, Turović, Radovan, Dragan, Dinu, Oros, Ana, Gajić, Dušan, Horvat, Nebojša
Publikováno v:
Proceedings of 18th International Symposium on Intelligent Systems and Informatics (SISY), IEEE, 2020, pp. 131-136
Automatic blood vessel segmentation from retinal images plays an important role in the diagnosis of many systemic and eye diseases, including retinopathy of prematurity. Current state-of-the-art research in blood vessel segmentation from retinal imag
Externí odkaz:
http://arxiv.org/abs/2306.11576
Autor:
Jovanović, Djordje, Petrović, Miloš, Tomašević-Ilić, Tijana, Matković, Aleksandar, Bokalič, Matevž, Spasenović, Marko, Rogdakis, Konstantinos, Kymakis, Emmannuel, Knežević, Dragan, Cinà, Lucio, Gajić, Radoš
Publikováno v:
Solar Energy Materials and Solar Cells, Volume 258, 2023, 112414, ISSN 0927-0248
A long operational lifetime is required for the use of solar cells in real-life photovoltaic applications. The optimization of operational lifetimes is achieved through understanding the inherent degradation phenomena in solar cells. In this study, g
Externí odkaz:
http://arxiv.org/abs/2306.09015
While in-memory learned indexes have shown promising performance as compared to B+-tree, most widely used databases in real applications still rely on disk-based operations. Based on our experiments, we observe that directly applying the existing lea
Externí odkaz:
http://arxiv.org/abs/2306.02604