Computer Vision News 32 Deep Learning for the Eyes specific loss function for a selfsupervised learning task is based on his previous work (and by chance got emphasized by Yann LeCun!!). Now the ResNet-50 backbone can be used to extract features which are subsequently projected in a feature space. The next step is clustering. Clustering sub-trajectories allows to find common paths for disease progression among the patients. In this work, spectral clustering was applied. Why not k-means? Because the distance function is not Euclidean.
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