Dissertationen
Fabian Wolf
Self-training for handwritten word recognition and retrieval (2024)
Oliver Tüselmann
Neuronale Ansätze zur semantischen Analyse handschriftlicher Dokumentenbilder (2024)
Fernando Moya Rueda
Transfer learning for multi-channel time-series Human Activity Recognition (2023)
Philipp Oberdiek
Assessing the reliability of deep neural networks (2023)
Leonard Rothacker
Segmentation-free word spotting with bag-of-features hidden Markov models (2019)
Sebastian Sudholt
Learning attribute representations with deep convolutional neural networks for word spotting (2018)
René Grzeszick
Partially supervised learning of models for visual scene and object recognitions (2018)
Axel Plinge
Acoustic sensor network geometry calibration and applications (2017)
Irfan Ahmad
Modeling and training options for handwritten Arabic text recognition (2017)
Akmal Junaidi
Lampung handwritten character recognition (2016)
Fabian Nasse
Die Detektion interessanter Objekte unter Verwendung eines objektbasierten Aufmerksamkeitsmodells (2016)
Jan Richarz
Videobasierte Gestenerkennung in einer intelligenten Umgebung (2012)
Kai Lienemann
Advanced ensemble methods for automatic classification of 1H-NMR spectra (2010)