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Support Vector Machines and Casgm20 Parameters Applied to Morphological Classification of Reconstructed 2D Images of Extended Objects Within the Esa-Gaia Mission

AuthID
P-009-E6S

Author(s)

Krone Martins, A

Ducourant, C

Teixeira, R

Editor(s)

BailerJones, CAL

Document Type

Proceedings Paper

Year published

2008

Published

in CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS in AIP Conference Proceedings, ISSN: 0094-243X

Volume: 1082, Pages: 151-155 (5)

Conference

International Conference on Classification and Discovery in Large Astronomical Surveys, Date: OCT 14-17, 2008, Location: Ringberg Castle, GERMANY, Sponsors: Max Planck Inst Astron, Max Planck Gesell, DFG, Emmy Noether Programme

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Publication Identifiers

DOI: 10.1063/1.3059030

Scopus: 2-s2.0-61849119517

Wos: WOS:000262629900023

Source Identifiers

ISSN: 0094-243X

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Support Vector Machines and Casgm20 Parameters Applied to Morphological Classification of Reconstructed 2D Images of Extended Objects Within the Esa-Gaia Mission

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Support Vector Machines and Casgm20 Parameters Applied to Morphological Classification of Reconstructed 2D Images of Extended Objects Within the Esa-Gaia Mission

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