Researchers and students at Pattern Recognition Lab (LME) work on the development and implementation of algorithms to classify and analyze patterns like images or speech. The research is mostly interdisciplinary and is focussed on medical- and health engineering. The LME has close national and international collaborations with other universities, research institutes and industrial partners.
Join us for an exciting talk by Prof. Dr. Christian Ledig on “Evolving Paradigms: The Future of Responsible AI in Healthcare beyond End-to-End Learning”. Prof. Ledig, a recognized expert in explainable machine learning (XAI) and healthcare AI, will share perspectives from his research and industry ...
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Bereit, die Leidenschaft für Technik und IT in eine spannende Karriere zu verwandeln? Dann ist unsere Ausbildung zur Fachinformatikerin oder zum Fachinformatiker Systemintegration genau der richtige Weg in die digitale Welt von morgen. Ob Systemintegration, Netzwerkadm...
On September 16, 2024, the Pattern Recognition Lab (PRL) attended the OptiHyd project kick-off meeting in Schrobenhausen, alongside Diehl Metering GmbH and Stadtwerke Schrobenhausen, the project's partners. As part of the "Smart City Initiative" supported by the State Ministry of Economy, this proj...
We are delighted to announce that Vincent Christlein has been awarded the prestigious IAPR/ICDAR Young Investigator Award 2024 for outstanding contributions to handwriting recognition applied to forensics and historical documents.
ICDAR recognizes each second year a scholar under the age of 40 t...
Our speech and language processing team won both tasks from the Taukadial Challenge1 at Interspeech 2024. The challenge focused on detecting Mild Cognitive Impairment (MCI) through advanced speech and language processing techniques, particularly analyzing speech data in cross-lingual settings—Chine...
