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Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally
  Auto-encoded Radio-astronomical Images

Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images

7 June 2019
Nicholas O. Ralph
Ray P. Norris
Guangchi Fang
Laurence A. F. Park
T. J. Galvin
M. Alger
H. Andernach
Chris J. Lintott
L. Rudnick
S. Shabala
O. I. Wong
ArXivPDFHTML

Papers citing "Radio Galaxy Zoo: Unsupervised Clustering of Convolutionally Auto-encoded Radio-astronomical Images"

5 / 5 papers shown
Title
A review of unsupervised learning in astronomy
A review of unsupervised learning in astronomy
Sotiria Fotopoulou
43
8
0
25 Jun 2024
Advances on the classification of radio image cubes
Advances on the classification of radio image cubes
Steven Ndung’u
Trienko L. Grobler
S. Wijnholds
Dimka Karastoyanova
George Azzopardi
30
0
0
05 May 2023
Radio astronomical images object detection and segmentation: A benchmark
  on deep learning methods
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods
Renato Sortino
D. Magro
G. Fiameni
E. Sciacca
S. Riggi
...
A. Hopkins
F. Bufano
F. Schillirò
C. Bordiu
C. Pino
36
8
0
08 Mar 2023
The Classification of Optical Galaxy Morphology Using Unsupervised
  Learning Techniques
The Classification of Optical Galaxy Morphology Using Unsupervised Learning Techniques
Ezra Fielding
Clement N. Nyirenda
Mattia Vaccari
32
5
0
13 Jun 2022
Survey2Survey: A deep learning generative model approach for
  cross-survey image mapping
Survey2Survey: A deep learning generative model approach for cross-survey image mapping
B. Buncher
A. N. Sharma
M. Kind
MedIm
16
6
0
13 Nov 2020
1