Seminar in applied mathematics and statistics

SPEAKER: Søren Hauberg (DTU Compute)

TITLE: Diffeomorphisms for Dummies and Augmentations for Awesommies

ABSTRACT: Deep learning is making tremendous impact in computer vision and machine learning tasks where data is plentiful. However, those of us not working for a big data collection company often find that data is not as plentiful as needed. A common trick is to artificially increase the size of your data set by synthetically deforming the data, e.g. new images can be generated by rotating old ones. The difficult part is to find the right set of deformations to apply, which is a manual laborious task akin to feature engineering. I'll present some techniques for automating these processes. To get there, we'll discuss links to image registration, infinite dimensional Lie groups, and deep neural networks.

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Tea and chocolate will be served on the 4th floor (4-4-19) after the seminar.