Machine Learning Project 4
License: GNU General Public License v3.0
Jupyter Notebook, describing the data preprocessing used for the fourth project of the "Advanced Machine Learning" course from ETH.
Non-negative matrix factorization was used to obtain 'eigen-images' of the videos. All the frames of the new generated videos are a linear combination of that "eigen-images" which in fact correspond to the end-systole and end-diastole of a cardiac cycle.
Machine Learning for Cardiac Ultrasound Time Series Data
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