标题
An automatic taxonomy of galaxy morphology using unsupervised machine learning
作者
关键词
-
出版物
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 473, Issue 1, Pages 1108-1129
出版商
Oxford University Press (OUP)
发表日期
2017-09-13
DOI
10.1093/mnras/stx2351
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Galaxy Zoo: quantitative visual morphological classifications for 48 000 galaxies from CANDELS
- (2016) B. D. Simmons et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Machine learning for transient discovery in Pan-STARRS1 difference imaging
- (2015) D. E. Wright et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Rotation-invariant convolutional neural networks for galaxy morphology prediction
- (2015) Sander Dieleman et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Galaxy morphology — An unsupervised machine learning approach
- (2015) A. Schutter et al. Astronomy and Computing
- SpArcFiRe: SCALABLE AUTOMATED DETECTION OF SPIRAL GALAXY ARM SEGMENTS
- (2014) Darren R. Davis et al. ASTROPHYSICAL JOURNAL
- Automatic detection and quantitative assessment of peculiar galaxy pairs in Sloan Digital Sky Survey
- (2014) Lior Shamir et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- SOMz: photometric redshift PDFs with self-organizing maps and random atlas
- (2014) Matias Carrasco Kind et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- PHOTOMETRIC REDSHIFTS FOR QUASARS IN MULTI-BAND SURVEYS
- (2013) M. Brescia et al. ASTROPHYSICAL JOURNAL
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- MegaMorph – multiwavelength measurement of galaxy structure: complete Sérsic profile information from modern surveys
- (2013) Boris Häußler et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Galaxy Zoo 2: detailed morphological classifications for 304 122 galaxies from the Sloan Digital Sky Survey
- (2013) Kyle W. Willett et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Automatic quantitative morphological analysis of interacting galaxies
- (2013) Lior Shamir et al. Astronomy and Computing
- Photometric redshifts with the quasi Newton algorithm (MLPQNA) Results in the PHAT1 contest
- (2012) S. Cavuoti et al. ASTRONOMY & ASTROPHYSICS
- ASPECT: A spectra clustering tool for exploration of large spectral surveys
- (2012) A. in der Au et al. ASTRONOMY & ASTROPHYSICS
- CLaSPS: A NEW METHODOLOGY FOR KNOWLEDGE EXTRACTION FROM COMPLEX ASTRONOMICAL DATA SETS
- (2012) R. D'Abrusco et al. ASTROPHYSICAL JOURNAL
- STRUCTURAL PARAMETERS OF GALAXIES IN CANDELS
- (2012) A. van der Wel et al. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
- galapagos: from pixels to parameters
- (2012) Marco Barden et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Can Self-Organizing Maps Accurately Predict Photometric Redshifts?
- (2012) M. J. Way et al. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
- Automatic detection of peculiar galaxies in large datasets of galaxy images
- (2012) Lior Shamir Journal of Computational Science
- GANALYZER: A TOOL FOR AUTOMATIC GALAXY IMAGE ANALYSIS
- (2011) Lior Shamir ASTROPHYSICAL JOURNAL
- CANDELS: THE COSMIC ASSEMBLY NEAR-INFRARED DEEP EXTRAGALACTIC LEGACY SURVEY
- (2011) Norman A. Grogin et al. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
- CANDELS: THE COSMIC ASSEMBLY NEAR-INFRARED DEEP EXTRAGALACTIC LEGACY SURVEY—THEHUBBLE SPACE TELESCOPEOBSERVATIONS, IMAGING DATA PRODUCTS, AND MOSAICS
- (2011) Anton M. Koekemoer et al. ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
- Bayesian cluster finder: clusters in the CFHTLS Archive Research Survey
- (2011) B. Ascaso et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Unsupervised self-organized mapping: a versatile empirical tool for object selection, classification and redshift estimation in large surveys
- (2011) James E. Geach MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Revisiting the Hubble sequence in the SDSS DR7 spectroscopic sample: a publicly available Bayesian automated classification
- (2010) M. Huertas-Company et al. ASTRONOMY & ASTROPHYSICS
- Connected component labeling on a 2D grid using CUDA
- (2010) Oleksandr Kalentev et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Galaxy Zoo: reproducing galaxy morphologies via machine learning★
- (2010) Manda Banerji et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Galaxy Zoo 1: data release of morphological classifications for nearly 900 000 galaxies★
- (2010) Chris Lintott et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- A robust morphological classification of high-redshift galaxies using support vector machines on seeing limited images
- (2009) M. Huertas-Company et al. ASTRONOMY & ASTROPHYSICS
- EAZY: A Fast, Public Photometric Redshift Code
- (2008) Gabriel B. Brammer et al. ASTROPHYSICAL JOURNAL
- A Run-Based Two-Scan Labeling Algorithm
- (2008) Lifeng He et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey★
- (2008) Chris J. Lintott et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Optimizing two-pass connected-component labeling algorithms
- (2008) Kesheng Wu et al. PATTERN ANALYSIS AND APPLICATIONS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation