no code implementations • 11 Oct 2023 • Julia Werner, Christoph Gerum, Moritz Reiber, Jörg Nick, Oliver Bringmann
This paper presents a method to efficiently classify the gastroenterologic section of images derived from Video Capsule Endoscopy (VCE) studies by exploring the combination of a Convolutional Neural Network (CNN) for classification with the time-series analysis properties of a Hidden Markov Model (HMM).
no code implementations • 31 May 2022 • Dennis Rieber, Moritz Reiber, Oliver Bringmann, Holger Fröning
From these results, a validity-driven initialization method for AutoTVM is developed, only requiring 41. 6% of the necessary hardware measurements to find the best solution, while improving search robustness.