Efficient Astronomical Data Condensation Using Approximate Nearest Neighbors
Authors
Szymon Łukasik
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
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
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Faculty of Electrical Engineering and Computer Science, Lublin University of Technology, Lublin, Poland
Piotr Kulczycki
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland
Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
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
Keywords:
Related subjects:
© 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.