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International Ph.D. Summer School
Mathematics and Machine Learning for Image Analysis
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Unit 1 - Getting started: Introductory Machine Learning
Unit 2 - Numerical optimization methods in imaging
Unit 3 - Optimization based machine learning for computational imaging
Unit 4 - Modeling Signal-Dependent and Correlated Noise in Imaging
Unit 5 - Functional optimization methods for machine learning
Unit 6 - Final Evaluation
Computing imaging lab activities
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