Tijn van der Zant, Ph.D.
Affiliations: | Artificial Intelligence & Cognitive Engineering | University of Groningen, Groningen, Netherlands |
Area:
biologically inspired systems, roboticsWebsite:
http://scholar.google.nl/citations?user=ZOZncM4AAAAJ&hl=enGoogle:
"Tijn van der Zant"Cross-listing: Neurotree - Robotree
Parents
Sign in to add mentorLambert RB Schomaker | grad student | 2005-2010 | RUG (Neurotree) | |
(Biol. Inspired visual perception) |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
Van Der Zant T, Schomaker L, Zinger S, et al. (2009) Where are the search engines for handwritten documents? Interdisciplinary Science Reviews. 34: 224-235 |
Bulacu M, Brink A, Van Der Zant T, et al. (2009) Recognition of handwritten numerical fields in a large single-writer historical collection Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 808-812 |
van der Zant T, Schomaker L, Haak K. (2008) Handwritten-word spotting using biologically inspired features. Ieee Transactions On Pattern Analysis and Machine Intelligence. 30: 1945-57 |
Van Der Zant T, Schomaker L, Valentijn E. (2008) Large scale parallel document image processing Proceedings of Spie - the International Society For Optical Engineering. 6815 |
Van Der Zant T, Schomaker L, Brink A. (2008) Interactive evolutionary computing for the binarization of degenerated handwritten images Proceedings of Spie - the International Society For Optical Engineering. 6815 |
Van Der Zant T, Schomaker L, Wiering M, et al. (2007) Cognitive developmental pattern recognition: Learning to learn Conference Proceedings - Ieee International Conference On Systems, Man and Cybernetics. 2: 1208-1213 |
Bulacu M, Van Koert R, Schomaker L, et al. (2007) Layout analysis of handwritten historical documents for searching the archive of the cabinet of the Dutch queen Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 1: 357-361 |