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Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors Cover

Authors

Szymon Łukasik

slukasik@agh.edu.pl

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Konrad Lalik

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland

Piotr Sarna

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland

Piotr A. Kowalski

pkowal@agh.edu.pl

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Małgorzata Charytanowicz

mchmat@ibspan.waw.pl

Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, Lublin, Poland

Piotr Kulczycki

kulpi@agh.edu.pl

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
DOI: https://doi.org/10.2478/amcs-2019-0034 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 467 - 476
Submitted on: Nov 11, 2018
Accepted on: Mar 18, 2019
Published on: Sep 28, 2019
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Szymon Łukasik, Konrad Lalik, Piotr Sarna, Piotr A. Kowalski, Małgorzata Charytanowicz, Piotr Kulczycki, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.