Machine learning and image analysis for morphological galaxy classification
- Author
- DE LA CALLEJA, Jorge1 ; FUENTES, Olac1
[1] Computer Science Department, National Institute of Astrophysics, Optics and Electronics, Tonantzintla 72840, Puebla, Mexico - Source
Monthly Notices of the Royal Astronomical Society. 2004, Vol 349, Num 1, pp 87-93, 7 p ; ref : 13 ref
- CODEN
- MNRAA4
- ISSN
- 0035-8711
- Scientific domain
- Astronomy earth cosmic environment
- Publisher
- Blackwell Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- galaxies: fundamental parameters methods: data analysis
- Keyword (fr)
- Analyse composante principale Analyse image Classification automatique Dimensionnalité Etude expérimentale Galaxies Modèle régression Morphologie Réseau neuronal
- Keyword (en)
- Principal component analysis Image analysis Automatic classification Dimensionality Experimental study Galaxies Regression model Morphology Neural networks
- Keyword (es)
- Clasificación automática Dimensionalidad Modelo regresión
- Classification
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E03 Astronomy / 001E03A Fundamental astronomy and astrophysics. Instrumentation, techniques, and astronomical observations / 001E03A75 Observation and data reduction techniques. Computer modeling and simulation / 001E03A75M Image processing (including source extraction)
- Pascal
- 001 Exact sciences and technology / 001E Earth, ocean, space / 001E03 Astronomy / 001E03D Stellar systems. Galactic and extragalactic objects and systems. The universe / 001E03D62 Characteristics and properties of external galaxies and extragalactic objects / 001E03D62A Origin, formation, evolution, age, and star formation
- Discipline
- Astronomy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 15553187
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1111/j.1365-2966.2004.07442.x 
https://dx.doi.org/10.1111/j.1365-2966.2004.07442.x
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