Projekt och publikationer
| Nyligen publicerat |
| Florian Westphal, "Data and Time Efficient Historical Document Analysis", Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090, EISSN 12153, EISSN 5, Blekinge Tekniska Högskola, 2020 |
| Florian Westphal, Håkan Grahn, Niklas Lavesson, "Representative Image Selection for Data Efficient Word Spotting", Lecture Notes in Computer Science, ISSN 0302-9743, EISSN 1611-3349, Lecture Notes in Computer Science, Springer, 2020 |
| Florian Westphal, Niklas Lavesson, Håkan Grahn, "A Case for Guided Machine Learning", Lecture Notes in Computer Science, ISSN 03029743, EISSN 16113349, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, 2019 |
| Amandus Krantz, Florian Westphal, "Cluster-based Sample Selection for Document Image Binarization", Proceedings of the International Conference on Document Analysis and Recognition, ISSN 1520-5363, 2019 INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION WORKSHOPS (ICDARW), VOL 5, IEEE, 2019 |
| Florian Westphal, Niklas Lavesson, Håkan Grahn, "Learning character recognition with graph-based privileged information", Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, IEEE Computer Society, 2019 |
