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Proceedings Paper

Fast algorithm for feature extraction
Author(s): Grzegorz Borowik; Jan Jankowski; Karol Kowalski
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Paper Abstract

A number of methods for data reduction have already been proposed in the literature. However, these methods, particularly those based on discernibility matrices, are insufficient for large databases and thus Big Data processing. The purpose of this paper is the introduction of a new efficient feature extraction algorithm that is based on statistics of attribute values. Tests have shown that the implementation is much more efficient than currently available solutions.

Paper Details

Date Published: 11 September 2015
PDF: 8 pages
Proc. SPIE 9662, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015, 96623T (11 September 2015); doi: 10.1117/12.2205909
Show Author Affiliations
Grzegorz Borowik, Warsaw Univ. of Technology (Poland)
Jan Jankowski, Warsaw Univ. of Technology (Poland)
Karol Kowalski, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 9662:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2015
Ryszard S. Romaniuk, Editor(s)

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