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The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
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The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques

Ezra Fielding
Clement N. Nyirenda
Mattia Vaccari
ArXiv (abs)PDFHTML

Papers citing "The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques"

5 / 5 papers shown
Title
A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
A Comparison of Deep Learning Architectures for Optical Galaxy Morphology Classification
Ezra Fielding
Clement N. Nyirenda
Mattia Vaccari
89
5
0
08 Nov 2021
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies
Mike Walmsley
Chris J. Lintott
Tobias Geron
Sandor Kruk
Coleman M Krawczyk
...
B. Simmons
R. Smethurst
Lewis Smith
E. Baeten
C. Macmillan
MDE
124
84
0
16 Feb 2021
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images
Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images
Nicholas O. Ralph
Ray P. Norris
Guangchi Fang
Laurence A. F. Park
T. J. Galvin
...
H. Andernach
Chris J. Lintott
L. Rudnick
S. Shabala
O. I. Wong
52
34
0
07 Jun 2019
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
D. Charte
F. Charte
S. García
M. J. D. Jesus
Francisco Herrera
69
258
0
04 Jan 2018
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman
K. Willett
J. Dambre
105
653
0
24 Mar 2015

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