Biblio
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(2022). Fast and memory-efficient independent component analysis using Lie group techniques.
International Conference on Curves and Surfaces.
(2019). 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)
Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms.pdf (776.45 KB)
(2025). Faster-than-real-time Simulation of Multi-group Pedestrian Flow..
Traffic & Granular Flow 24. 04021.
(2011). Finite element analysis for linear elastic solids based on subdivision schemes.
Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop. FEALinearElasticSolids.pdf (2.35 MB)
FEALinearElasticSolids.pdf (2.35 MB)
(2000). Gaussian and mean curvature of subdivision surfaces.
(Cipolla, R., & Martin R., Ed.).The Mathematics of Surfaces IX. SubCurvat.pdf (112.52 KB)
SubCurvat.pdf (112.52 KB)
(2010). Generalized swap operation for tetrahedrizations.
(Hagen, H., Ed.).Scientific Visualization: Advanced Concepts. SwapTetrahed.pdf (333.85 KB)
SwapTetrahed.pdf (333.85 KB)
(2010). Geometric properties of the adaptice Delaunay tessellation.
(Dæhlen, M., Floater M.S., Lyche T., Merrien J.-L., Morken K., & Schumaker L.L., Ed.).Mathematical Methods of Curves and Surfaces, Tondsberg 2008. ADTProperties.pdf (335.14 KB)
ADTProperties.pdf (335.14 KB)
(2007). Glassy and Polymeric Ionic Conductors: Statistical Modeling and Monte Carlo Simulations.
Superionic Conductor Physics. 1, 77–80.
(2012). A hand-held laser scanner based on multi-camera stereo-matching.
Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop. LaserScannerStereoMatching.pdf (584.47 KB)
LaserScannerStereoMatching.pdf (584.47 KB)
(2003). Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.
(Nunes, U., de Almeida A., Bejczy A., Kosuge K., & Machado J., Ed.).{Proc. of the 11th International Conference on Advanced Robotics}. 2, 453–458. Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
Ilg et al._2003_Hierarchical spatio-temporal morphable models for representation of complex movements for imitation learning.pdf (716.98 KB)
(1997). Homing by parameterized scene matching.
{Proc. 4th Europ. Conf. on Artificial Life}. 236 – 245.
(2007). How to find interesting locations in video: a spatiotemporal interest point detector learned from human eye movements.
{Lecture Notes in Computer Science: Pattern Recognition (DAGM 2007)}. 405–417. Kienzle et al._2007_How to find interesting locations in video a spatiotemporal interest point detector learned from human eye movements.pdf (377.26 KB)
Kienzle et al._2007_How to find interesting locations in video a spatiotemporal interest point detector learned from human eye movements.pdf (377.26 KB)
(2012). How to find relevant training data: a paired bootstrapping approach to blind steganalysis.
{4th IEEE Intl. Workshop on Information Forensics and Security (WIFS 2012)}. 228–233. Le, Franz_2012_How to find relevant training data A paired bootstrapping approach to blind steganalysis.pdf (476.58 KB)
Le, Franz_2012_How to find relevant training data A paired bootstrapping approach to blind steganalysis.pdf (476.58 KB)
(2011). Hybrid face recognition based on real-time multi-camera stereo-matching.
(G. al., B. et, Ed.).Advances in Visual Computing, Proc. ISVC 2011, LNCS. 158–167. Hensler et al._2011_Hybrid face recognition based on real-time multi-camera stereo-matching.pdf (439.11 KB)
Hensler et al._2011_Hybrid face recognition based on real-time multi-camera stereo-matching.pdf (439.11 KB)
(2007). Image Compression Using Data-Dependent Triangulations.
(al., G. Bebis et, Ed.).Advances in Visual Computing. ImgCompression.pdf (3.75 MB)
ImgCompression.pdf (3.75 MB)
(2018). Image Inpainting for High-Resolution Textures using CNN Texture Synthesis.
Computer Graphics & Visual Computing (CGVC). gcvc18.pdf (5.73 MB)
gcvc18.pdf (5.73 MB)
(2022). Image novelty detection based on mean-shift and typical set size.
21th International Conference on Image Analysis and Processing, ICIAP. ICIAP-mean-shift-novelty-detection-preprint.pdf (2.96 MB)
ICIAP-mean-shift-novelty-detection-preprint.pdf (2.96 MB)
(2004). Implicit estimation of Wiener series.
(Barros, A., Principe J. C., Larsen J., Adali T., & Douglas S., Ed.).{Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop}. 735–744. Franz, Schölkopf_2004_Implicit estimation of Wiener series.pdf (191.86 KB)
Franz, Schölkopf_2004_Implicit estimation of Wiener series.pdf (191.86 KB)
(2006). Implicit Volterra and Wiener series for higher-order image analysis.
{Advances in Data Analysis 30th Ann. Conf. German Classification Society}. 60.
(2009). Implicit Wiener series analysis of epileptic seizure recordings..
{Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society}. 5304–5307. Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
(2004). Implicit Wiener series for capturing higher-order interactions in images.
(Olshausen, B. A., & Lewicki M., Ed.).{Proc. Sensory Coding and the Natural Environment 2004}.
(2007). Implicit Wiener series for estimating nonlinear receptive fields.
{Proc. 31st Göttingen Neurobiolgy Conf.}. 1199.
(1999). Improved triangular subdivision schemes.
(Wolter, F.-E., & Patrikalakis N.M., Ed.).Proceedings of the CGI '98. TriSub.pdf (1.73 MB)
TriSub.pdf (1.73 MB)
(2016). 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)
2016-12 Improving gradient-based LSTM training for offline handwriting recognition by careful selection of the optimization method.pdf (803.54 KB)
(2016). 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)
Schall et al_2016_Increasing robustness of handwriting recognition using character n-gram decoding on large lexica.pdf (440.82 KB)