Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Polsterer, Kai Lars"'
The amount, size, and complexity of astronomical data-sets and databases are growing rapidly in the last decades, due to new technologies and dedicated survey telescopes. Besides dealing with poly-structured and complex data, sparse data has become a
Externí odkaz:
http://arxiv.org/abs/2103.03780
Publikováno v:
A&A 616, A97 (2018)
The explosion of data in recent years has generated an increasing need for new analysis techniques in order to extract knowledge from massive datasets. Machine learning has proved particularly useful to perform this task. Fully automatized methods ha
Externí odkaz:
http://arxiv.org/abs/1803.10032
Autor:
D'Isanto, Antonio, Polsterer, Kai Lars
Publikováno v:
A&A 609, A111 (2018)
The need to analyze the available large synoptic multi-band surveys drives the development of new data-analysis methods. Photometric redshift estimation is one field of application where such new methods improved the results, substantially. Up to now
Externí odkaz:
http://arxiv.org/abs/1706.02467
Photometric redshifts play an important role as a measure of distance for various cosmological topics. Spectroscopic redshifts are only available for a very limited number of objects but can be used for creating statistical models. A broad variety of
Externí odkaz:
http://arxiv.org/abs/1608.08016
In the era of rapidly increasing amounts of time series data, classification of variable objects has become the main objective of time-domain astronomy. Classification of irregularly sampled time series is particularly difficult because the data cann
Externí odkaz:
http://arxiv.org/abs/1504.04455
Quasars with a high redshift (z) are important to understand the evolution processes of galaxies in the early universe. However only a few of these distant objects are known to this date. The costs of building and operating a 10-metre class telescope
Externí odkaz:
http://arxiv.org/abs/1210.7071
Autor:
Gieseke, Fabian, Polsterer, Kai Lars, Thom, Andreas, Zinn, Peter-Christian, Bomanns, Dominik, Dettmar, Ralf-Jürgen, Kramer, Oliver, Vahrenhold, Jan
Publikováno v:
2010 Ninth International Conference on Machine Learning and Applications, 2010, pp.352-357
We present a classification-based approach to identify quasi-stellar radio sources (quasars) in the Sloan Digital Sky Survey and evaluate its performance on a manually labeled training set. While reasonable results can already be obtained via approac
Externí odkaz:
http://arxiv.org/abs/1108.4696
Publikováno v:
In Expert Systems With Applications 15 June 2013 40(8):2841-2844
Autor:
Polsterer, Kai Lars
Diese Dissertation behandelt die Architektur und Implementierung der Steuerungssoftware des Nah-Infrarot-Instruments LUCIFER. Dabei wird besonders auf die Kernkomponenten des verteilten Systems, die Ansteuerung der Elektroniken sowie die Modellierung
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______794::9810f99f59f8bbf226d5c8aebdecc7e5
http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-33163
http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:hbz:294-33163