Biblio
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Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.
Conference: BW-CAR Symposium on Information and Communication Systems (SInCom).
2016-12 Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.pdf (803.54 KB)
(2016). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.
12th IAPR International Workshop on Document Analysis Systems.
Schall et al_2016_Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.pdf (440.82 KB)
(2016). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Radiometric calibration of digital cameras using Gaussian processes.
SPIE Optics+ Optoelectronics.
Schall et al_2015_Radiometric calibration of digital cameras using Gaussian processes.PDF (953.2 KB)
(2015). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification.
15th IAPR International Conference on Document Analysis and Recognition.
Dissecting Multi-Line Handwriting for Multi-Dimensional Connectionist Classification.pdf (553.24 KB)
(2019). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.
13th IAPR International Workshop on Document Analysis Systems.
2018-04 LSTM Networks for Edit Distance Calculation with Exchangeable Dictionaries.pdf (145.78 KB)
(2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.
Visualization in Data Science (VDS at IEEE VIS) 2018.
Visualization-Assisted Development of Deep Learning Models in Offline Handwriting Recognition.pdf (1.03 MB)
(2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Multi-Dimensional Connectionist Classification: Reading Text in One Step.
13th IAPR International Workshop on Document Analysis Systems.
2018-04 Multi-Dimensional Connectionist Classification Reading Text in One Step.pdf (485.57 KB)
(2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms.
ICDAR-OST: The 2nd International Workshop on Open Services and Tools for Document Analysis.
Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms.pdf (776.45 KB)
(2019). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations.
2021 International Conference on Data Mining Workshops (ICDMW). 398–404.
(2021). Accelerating Active Learning Image Labeling Through Bulk Shift Recommendations.
2021 International Conference on Data Mining Workshops (ICDMW). 398-404.
(2021). Design of a dual species atom interferometer for space.
Experimental Astronomy. 39, 167-206.
Schuldt et al._2015_Design of a dual species atom interferometer for space.pdf (2.98 MB)
(2015). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
A compact high-performance frequency reference for space applications.
{29th Intl. Symposium on Space Technology and Science (ISTS 2013), Nagoya (Japan)}.
Schuldt et al._2013_A Compact High-Performance Frequency Reference for Space Applications.pdf (369.85 KB)
(2013). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
The influence of the image basis on modeling and steganalysis performance.
(Böhme, R., Fong P.W.L., & Safavi-Naini R., Ed.).{Proc. 12th Intl. Conf. on Information Hiding (IH-2010)}. 133–144.
Schwamberger et al._2010_The Influence of the Image Basis on Modeling and Steganalysis Performance.pdf (392.83 KB)
(2010). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Simple algorithmic modifications for improving blind steganalysis performance.
{Proc. of the 2010 Workshop on Multimedia and Security (MM&Sec 2010)}.
Schwamberger, Franz_2010_Simple Algorithmic Modifications for Improving Blind Steganalysis Performance.pdf (813.87 KB)
(2010). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Analyzing environmental conditions and vital signs to increase healthy living.
Mobile Networks for Biometric Data Analysis.
(2016). Deep transformation models: Tackling complex regression problems with neural network based transformation models.
Accepted for Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan/Online, 2021.
(2021). Developing deep learning applications for life science and pharma industry.
Drug research. 68, 305–310.
(2018). Learning depth from stereo.
(Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 245 – 252.
(2004). Learning depth.
(Bülthoff, H. H., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 7. Tübinger Wahrnehmungskonferenz (TWK 2004)}. 68.
Sinz et al Learning depth 2004.pdf (197 KB)
(2004). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Applied Data Science in Europe: Challenges for Academia in Keeping Up with a Highly Demanded Topic.
European Computer Science Summit. Amsterdam, Netherlands.
(2013). Beyond ImageNet: Deep Learning in Industrial Practice.
Applied Data Science. 205-232.
(2019). Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering.
IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 333–345.
ANNPR_2018b.pdf (692.47 KB)
(2018). ![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
Subliminale Darbietung verkehrsrelevanter Information in Kraftfahrzeugen.
(Bülthoff, H. H., Gegenfurtner K. R., & Mallot H. A., Ed.).{Proc. 3. Tübinger Wahrnehmungskonferenz (TWK 20009)}. 98.
(2000).