no code implementations • 16 Feb 2023 • Ruyu Wang, Sabrina Hoppe, Eduardo Monari, Marco F. Huber
Data-hunger and data-imbalance are two major pitfalls in many deep learning approaches.
no code implementations • 15 Jul 2020 • Sabrina Hoppe, Marc Toussaint
By selecting a subgraph with a favorable structure, we construct a simplified Markov Decision Process for which exact Q-values can be computed efficiently as more data comes in.
no code implementations • 8 Sep 2016 • Sabrina Hoppe, Andreas Bulling
Common computational methods for automated eye movement detection - i. e. the task of detecting different types of eye movement in a continuous stream of gaze data - are limited in that they either involve thresholding on hand-crafted signal features, require individual detectors each only detecting a single movement, or require pre-segmented data.