2 code implementations • 6 Nov 2018 • Alexander Malafeev, Dmitry Laptev, Stefan Bauer, Ximena Omlin, Aleksandra Wierzbicka, Adam Wichniak, Wojciech Jernajczyk, Robert Riener, Joachim M. Buhmann and Peter Achermann
The classification of sleep stages is the first and an important step in the quantitative analysis of polysomnographic recordings.
1 code implementation • CVPR 2016 • Dmitry Laptev, Nikolay Savinov, Joachim M. Buhmann, Marc Pollefeys
This more efficient use of training data results in better performance on popular benchmark datasets with smaller number of parameters when comparing to standard convolutional neural networks with dataset augmentation and to other baselines.
no code implementations • CVPR 2015 • Dmitry Laptev, Joachim M. Buhmann
Many Computer Vision problems arise from information processing of data sources with nuisance variances like scale, orientation, contrast, perspective foreshortening or - in medical imaging - staining and local warping.