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Found 4 papers, 2 papers with code
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction
In this paper, we propose an implicit regularization for the kernel method by using a deep coefficient prior, which represents the kernel coefficient image in the PET forward model using a convolutional neural-network.
Unsupervised Star Galaxy Classification with Cascade Variational Auto-Encoder
The increasing amount of data in astronomy provides great challenges for machine learning research.
Star-galaxy Classification Using Deep Convolutional Neural Networks
Most existing star-galaxy classifiers use the reduced summary information from catalogs, requiring careful feature extraction and selection.
A Hybrid Ensemble Learning Approach to Star-Galaxy Classification
There exist a variety of star-galaxy classification techniques, each with their own strengths and weaknesses.
Instrumentation and Methods for Astrophysics
