Zobrazeno 1 - 10
of 9 092
pro vyhledávání: '"GALANOPOULOS, A."'
Autor:
Hulbert, Shane1 (AUTHOR) shane.hulbert@rmit.edu.au, Galanopoulos Papavasileiou, Ioannis2 (AUTHOR)
Publikováno v:
Journal of Visual Art Practice. Nov2024, p1-20. 20p. 6 Illustrations.
Autor:
Troboukis, Thanasis, Kiki, Kelly, Galanopoulos, Antonis, Sermpezis, Pavlos, Karamanidis, Stelios, Dimitriadis, Ilias, Vakali, Athena
This chapter introduces a research project titled "Analyzing the Political Discourse: A Collaboration Between Humans and Artificial Intelligence", which was initiated in preparation for Greece's 2023 general elections. The project focused on the anal
Externí odkaz:
http://arxiv.org/abs/2410.13400
We prove the nontrivial variant \[ \sum\limits_{m,n=1}^{\infty}\Big(\frac{n}{m}\Big)^{\frac{1}{q}-\frac{1}{p}}\frac{a_mb_n}{m+n-1}\leq\frac{\pi}{\sin\frac{\pi}{p}} \Big( \sum\limits_{m=1}^{\infty}a_m^p\Big)^{\frac 1p}\Big( \sum\limits_{n=1}^{\infty}b
Externí odkaz:
http://arxiv.org/abs/2307.09859
We deal with a reverse Carleson measure inequality for the tent spaces of analytic functions in the unit disc $\mathbb{D}$ of the complex plane. The tent spaces of measurable functions were introduced by Coifman, Meyer and Stein. Let $1\leq p,q < \in
Externí odkaz:
http://arxiv.org/abs/2306.05408
Autor:
Mpakos, Panagiotis, Galanopoulos, Dimitrios, Anastasiadis, Petros, Papadopoulou, Nikela, Koziris, Nectarios, Goumas, Georgios
The SpMV kernel is characterized by high performance variation per input matrix and computing platform. While GPUs were considered State-of-the-Art for SpMV, with the emergence of advanced multicore CPUs and low-power FPGA accelerators, we need to re
Externí odkaz:
http://arxiv.org/abs/2302.04225
In this paper we tackle the cross-modal video retrieval problem and, more specifically, we focus on text-to-video retrieval. We investigate how to optimally combine multiple diverse textual and visual features into feature pairs that lead to generati
Externí odkaz:
http://arxiv.org/abs/2211.11351
Autor:
Marshall, Henry N., Mullany, Sean, Han, Xikun, Qassim, Ayub, He, Weixiong, Hassall, Mark M., Schmidt, Joshua, Thomson, Daniel, Nguyen, Thi Thi, Berry, Ella C., Knight, Lachlan S.W., Hollitt, Georgina L., Ridge, Bronwyn, Schulz, Angela, Mills, Richard A., Healey, Paul R., Agar, Ashish, Galanopoulos, Anna, Landers, John, Graham, Stuart L., Hewitt, Alex W., Casson, Robert J., MacGregor, Stuart, Siggs, Owen M., Craig, Jamie E.
Publikováno v:
In Ophthalmology August 2023 130(8):830-836
Publikováno v:
In Mechanical Systems and Signal Processing 1 February 2025 224
An increasing number of mobile applications rely on Machine Learning (ML) routines for analyzing data. Executing such tasks at the user devices saves the energy spent on transmitting and processing large data volumes at distant cloud-deployed servers
Externí odkaz:
http://arxiv.org/abs/2201.02840
Autor:
Mullany, Sean, Marshall, Henry, Diaz-Torres, Santiago, Berry, Ella C., Schmidt, Joshua M., Thomson, Daniel, Qassim, Ayub, To, Minh-Son, Dimasi, David, Kuot, Abraham, Knight, Lachlan S.W., Hollitt, Georgina, Kolovos, Antonia, Schulz, Angela, Lake, Stewart, Mills, Richard A., Agar, Ashish, Galanopoulos, Anna, Landers, John, Mitchell, Paul, Healey, Paul R., Graham, Stuart L., Hewitt, Alex W., Souzeau, Emmanuelle, Hassall, Mark M., Klebe, Sonja, MacGregor, Stuart, Gharahkhani, Puya, Casson, Robert J., Siggs, Owen M., Craig, Jamie E.
Publikováno v:
In Ophthalmology Science June 2022 2(2)