Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data.
Radamanthys StivaktakisGrigorios TsagkatakisBruno MoraesFilipe B. AbdallaJean-Luc StarckPanagiotis TsakalidesPublished in: IEEE Trans. Big Data (2020)
Keyphrases
- data processing
- high quality
- data structure
- data sources
- convolutional neural networks
- data sets
- complex data
- synthetic data
- data collection
- image data
- probability distribution
- computer systems
- data analysis
- experimental data
- raw data
- data quality
- neural network
- data mining techniques
- input data
- end users
- sensor data
- spatial data
- density estimation
- learning algorithm
- estimation process