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Friedhelm Schwenker

Ulm University

segmentation

handwriting

deep auto encoder

1

presentations

SHORT BIO

FRIEDHELM SCHWENKER (Member, IEEE) received the Diploma and Ph.D. degrees in mathematics and computer science from the University of Osnabruück. He is currently a Privatdozent with the Institute of Neural Informa- tion Processing, Ulm University. He (co-)edited 20 special issues and workshop proceedings published in international journals and publishing companies, and published more than 200 papers at international conferences and journals. His research interests include, but are not limited to, artificial neural networks, machine learning, statistical learning theory, data mining, pattern recogni- tion, information fusion, affective computing. He served as the (Co-)Chair for the IAPR TC3 on Neural Networks and Computational Intelligence, and since 2016, he is the Chair of the new IAPR TC9 on Pattern Recognition in Human–Computer Interaction.

Presentations

Handwritten Digit String Recognition using Deep Autoencoder based Segmentation and ResNet based Recognition Approach

Friedhelm Schwenker

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