643 citations
- Ludwig-Maximilians-Universität MünchenDE115 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- Instituto de Astrofísica de CanariasES7 papers
- KU LeuvenBE6 papers
- Universidad de La LagunaES6 papers
- Centro de AstrobiologíaES5 papers
- University of BonnDE5 papers
- University of Hawaiʻi at MānoaUS5 papers
- ETH ZurichCH4 papers
- European Southern ObservatoryCL4 papers
- Munich Center for Machine Learning4 papers
- Siemens (Germany)DE4 papers
4 papers · 1 filter
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning
Christian Reul, Christoph Wick, Maximilian Nöth +3
In order to apply Optical Character Recognition (OCR) to historical printings of Latin script fully automatically, we report on our efforts to construct a widely-applicable polyfon…
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
Terry Taewoong Um, Franz Michael Josef Pfister, Daniel Pichler +5
While convolutional neural networks (CNNs) have been successfully applied to many challenging classification applications, they typically require large datasets for training. When…
Profiling of OCR'ed Historical Texts Revisited
Florian Fink, Klaus-U. Schulz, Uwe Springmann
In the absence of ground truth it is not possible to automatically determine the exact spectrum and occurrences of OCR errors in an OCR'ed text. Yet, for interactive postcorrection…
Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields
Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger +10
Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support…