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2020 – today
- 2020
[j4]Michael Stauffer
, Andreas Fischer, Kaspar Riesen:
Filters for graph-based keyword spotting in historical handwritten documents. Pattern Recognit. Lett. 134: 125-134 (2020)
2010 – 2019
- 2019
- [b1]Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Graph-Based Keyword Spotting. Series in Machine Perception and Artificial Intelligence 86, WorldScientific 2019, ISBN 9789811206627, pp. 1-296 - [j3]Mohammad Reza Ameri, Michael Stauffer, Kaspar Riesen, Tien D. Bui, Andreas Fischer:
Graph-based keyword spotting in historical manuscripts using Hausdorff edit distance. Pattern Recognit. Lett. 121: 61-67 (2019) - [c18]Michael Stauffer, Paul Maergner, Andreas Fischer, Kaspar Riesen:
Cross-Evaluation of Graph-Based Keyword Spotting in Handwritten Historical Documents. GbRPR 2019: 45-55 - [c17]Michael Stauffer, Paul Maergner, Andreas Fischer, Kaspar Riesen:
Graph Embedding for Offline Handwritten Signature Verification. ICBEA 2019: 69-76 - [c16]Michael Stauffer, Paul Maergner, Andreas Fischer, Rolf Ingold, Kaspar Riesen:
Offline Signature Verification using Structural Dynamic Time Warping. ICDAR 2019: 1117-1124 - 2018
- [j2]Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Keyword spotting in historical handwritten documents based on graph matching. Pattern Recognit. 81: 240-253 (2018) - [c15]Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Graph-Based Keyword Spotting in Historical Documents Using Context-Aware Hausdorff Edit Distance. DAS 2018: 49-54 - 2017
- [c14]Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Speeding-Up Graph-Based Keyword Spotting by Quadtree Segmentations. CAIP (1) 2017: 304-315 - [c13]Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Speeding-Up Graph-Based Keyword Spotting in Historical Handwritten Documents. GbRPR 2017: 83-93 - [c12]Michael Stauffer, Thomas Tschachtli, Andreas Fischer, Kaspar Riesen:
A Survey on Applications of Bipartite Graph Edit Distance. GbRPR 2017: 242-252 - [c11]Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Ensembles for Graph-Based Keyword Spotting in Historical Handwritten Documents. ICDAR 2017: 714-720 - 2016
- [c10]Michael Stauffer, Thomas Hanne, Rolf Dornberger:
Uniform and non-uniform pseudorandom number generators in a genetic algorithm applied to an order picking problem. CEC 2016: 143-151 - [c9]Michael Stauffer, Andreas Fischer, Kaspar Riesen:
A Novel Graph Database for Handwritten Word Images. S+SSPR 2016: 553-563 - [c8]Michael Stauffer, Andreas Fischer, Kaspar Riesen:
Graph-Based Keyword Spotting in Historical Handwritten Documents. S+SSPR 2016: 564-573 - 2015
- [c7]Remo Ryter, Michael Stauffer, Thomas Hanne, Rolf Dornberger:
Analysis of chaotic maps applied to self-organizing maps for the Traveling Salesman Problem. CEC 2015: 1717-1724 - [c6]Rakshit Sunil Kothari, Eli Saber, Marvin Nelson, Michael Stauffer, Dave Bohan, Kuldeep Shah:
Image enhancement for low resolution display panels. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2015: 939509 - 2014
- [j1]Brian B. Avants, Nicholas J. Tustison, James C. Gee, Gang Song, Baohua Wu, Michael Stauffer:
The Insight ToolKit image registration framework. Frontiers Neuroinformatics 8: 44 (2014) - [c5]Rolf Dornberger, Thomas Hanne, Remo Ryter, Michael Stauffer:
Optimization of the picking sequence of an automated storage and retrieval system (AS/RS). IEEE Congress on Evolutionary Computation 2014: 2817-2824 - [c4]Michael Stauffer, Remo Ryter, Donald Davendra, Rolf Dornberger, Thomas Hanne:
A genetic algorithm with an embedded Ikeda map applied to an order picking problem in a multi-aisle warehouse. CIPLS 2014: 53-58 - 2012
- [c3]Michael Stauffer:
Connectivity solutions for Smart TVs. ICCE-Berlin 2012: 245-249 - [c2]Brian B. Avants, Nicholas J. Tustison, Gang Song, Baohua Wu, Michael Stauffer, Matthew McCormick, Hans J. Johnson, James C. Gee:
A Unified Image Registration Framework for ITK. WBIR 2012: 266-275
2000 – 2009
- 2004
- [c1]Michael Stauffer, Suresh Muknahallipatna, Jerry C. Hamann:
NTLM and Kerberos Performance in Windows 2000 Domains. CCCT (1) 2004: 85-91
Coauthor Index
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