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Star-galaxy classification using deep convolutional neural networks
Edward J. Kim,
Robert J. Brunner
Gies College of Business
Accountancy
Statistics
Electrical and Computer Engineering
Astronomy
National Center for Supercomputing Applications (NCSA)
Beckman Institute for Advanced Science and Technology
Siebel School of Computing and Data Science
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Keyphrases
Galaxy Classification
100%
Deep Convolutional Neural Network (deep CNN)
100%
Feature Extraction
33%
Pixel Value
33%
Classification Framework
33%
Machine Learning Techniques
33%
Feature Selection
33%
Machine Learning
33%
Galaxies
33%
Sloan Digital Sky Survey
33%
Lensing
33%
Photometric Surveys
33%
Large Synoptic Survey Telescope
33%
Deep Learning
33%
Dark Energy Survey
33%
Canada-France-Hawaii Telescope
33%
Human Expert
33%
Convolutional Neural Network
33%
Deep Neural Network
33%
Traditional Machine Learning
33%
Summary Information
33%
Feature Engineering
33%
Manual Features
33%
Probabilistic Classification
33%
Computer Science
Deep Convolutional Neural Networks
100%
Machine Learning
33%
Feature Extraction
33%
Feature Selection
33%
Machine Learning Technique
33%
Deep Learning
33%
Large Synoptic Survey Telescope
33%
Classification Framework
33%
Convolutional Neural Network
33%
Deep Neural Network
33%
Summary Information
33%
Physics
Galaxy Classification Systems
100%
Convolutional Neural Network
100%
Machine Learning
50%
Neural Network
25%
Sky Surveys
25%
Deep Learning
25%