Anomaly Detection Techniques in the Gaia Space Mission Data
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Mario Gai | Deborah Busonero | Marco Roberti | Rossella Cancelliere | Davide Cavagnino | Alessandro Druetto | D. Busonero | R. Cancelliere | M. Gai | D. Cavagnino | A. Druetto | Marco Roberti | Alessandro Druetto
[1] Sun-Yuan Kung,et al. Low-energy Formulations of Support Vector Machine Kernel Functions for Biomedical Sensor Applications , 2012, Journal of Signal Processing Systems.
[2] Boris Polyak. Some methods of speeding up the convergence of iteration methods , 1964 .
[3] Mohamad Ali-Dib,et al. Lunar crater identification via deep learning , 2018, Icarus.
[4] Mario Gai,et al. A Deep Learning Approach to Anomaly Detection in the Gaia Space Mission Data , 2019, IWANN.
[5] John D. Hunter,et al. Matplotlib: A 2D Graphics Environment , 2007, Computing in Science & Engineering.
[6] Hyunjun Eun,et al. Boosting Proximal Dental Caries Detection via Combination of Variational Methods and Convolutional Neural Network , 2018, J. Signal Process. Syst..
[7] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[8] Tatpong Katanyukul,et al. Hand Sign Recognition for Thai Finger Spelling: an Application of Convolution Neural Network , 2019, J. Signal Process. Syst..
[9] E. Decenciere,et al. Deep learning for galaxy surface brightness profile fitting , 2017, Monthly Notices of the Royal Astronomical Society.
[10] L. M. Sarro,et al. Gaia Data Release 2 , 2018, Astronomy & Astrophysics.
[11] Geoffrey E. Hinton. Learning Translation Invariant Recognition in Massively Parallel Networks , 1987, PARLE.
[12] Dimitrios Soudris,et al. An Exploration Framework for Efficient High-Level Synthesis of Support Vector Machines: Case Study on ECG Arrhythmia Detection for Xilinx Zynq SoC , 2017, Journal of Signal Processing Systems.
[13] Serkan Kiranyaz,et al. A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier , 2018, Journal of Signal Processing Systems.
[14] J. J. González-Vidal,et al. Gaia Data Release 2 , 2018, Astronomy & Astrophysics.
[15] P. J. Richards,et al. Gaia Data Release 2 , 2018, Astronomy & Astrophysics.
[16] H. Robbins. A Stochastic Approximation Method , 1951 .
[17] Richard O. Duda,et al. Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.
[18] John Scott Bridle,et al. Probabilistic Interpretation of Feedforward Classification Network Outputs, with Relationships to Statistical Pattern Recognition , 1989, NATO Neurocomputing.
[19] Gaia Collaboration,et al. The Gaia mission , 2016, 1609.04153.
[20] Vineet Kumar,et al. Hardware Accelerators for Iris Localization , 2018, J. Signal Process. Syst..
[21] Xiu-Ling Liu,et al. Coronary Artery Fibrous Plaque Detection Based on Multi-Scale Convolutional Neural Networks , 2020, J. Signal Process. Syst..
[22] C. Fabricius,et al. Gaia Data Release 2 , 2018, Astronomy & Astrophysics.
[23] Lars Schmidt-Thieme,et al. Scalable Hyperparameter Optimization with Products of Gaussian Process Experts , 2016, ECML/PKDD.
[24] John Collins,et al. Improvement of Honey Bee Tracking on 2D Video with Hough Transform and Kalman Filter , 2018, J. Signal Process. Syst..
[25] Tiziano Zingales,et al. ExoGAN: Retrieving Exoplanetary Atmospheres Using Deep Convolutional Generative Adversarial Networks , 2018, The Astronomical Journal.
[26] Leo Breiman,et al. Random Forests , 2001, Machine Learning.