Biblio
Learning to Cluster.
learning_to_cluster.pdf (1.82 MB)
(2018). 
Learnt knot placement in B-spline curve approximation using support vector machines.
Computer Aided Geometric Design. 62, 104–116.
GMP18.pdf (865.85 KB)
(2018). 
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). 
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). 
Optical Surface Detection: A novelty detection approach based on CNN-encoded features.
SPIE Optics and Photonics. 10752 - 10752 - 13.
Spie2018.pdf (730 KB)
(2018). 
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). 
Detection of variations in holter ECG recordings based on dynamic cluster analysis.
International Conference on Intelligent Decision Technologies.
(2017). Evaluation of features for SVM-based classification of geometric primitives in point clouds.
Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on. 59–62.
paper.pdf (1.5 MB)
(2017). 
A geometric mesh smoothing algorithm related to damped oscillations.
Comput Methods Appl Mech Eng. 326C,
(2017). Radiometric calibration of digital cameras using neural networks.
Optics and Photonics for Information Processing XI.
(2017). Analyzing environmental conditions and vital signs to increase healthy living.
Mobile Networks for Biometric Data Analysis.
(2016). Existence of an attractor for a geometric tetrahedron transformation.
Differential Geom. Appl.. 49,
(2016). Finite Element Simulation of a Macroscopic Model for Pedestrian Flow.
Traffic and Granular Flow. 10.1007/978-3-319-33482-0_30, 233–240.
(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). 
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). 
Partially hyperbolic diffeomorphisms with uniformly compact center foliation: quotient dynamics.
Ergodic Theory Dyn. Sys.. 36(4),
(2016). Radiometric calibration of digital cameras using sparse Gaussian processes.
Workshop Farbbildverarbeitung.
(2016). A short survey on recent methods for cage computation.
BW-CAR| SINCOM. 37.
cagesurvSinCom.pdf (444.89 KB)
(2016). 
Von der Symmetriegruppe des Dreiecks zur Glättung von industriellen Netzen.
Die Basis der Vielfalt - 10. Tagung der DGfGG.
(2016). Wahrnehmungsorientierte optische Inspektion von texturierten Oberflächen.
INFORMATIK 2016, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik. 259, 1963–1968.
(2016). On-line CAD Reconstruction with Accumulated Means of Local Geometric Properties.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 181-201.
OnlineCADReconst.pdf (3.18 MB)
(2015). 
Pixel-wise Hybrid Image Registration on Wood Decors.
BW-CAR| SINCOM. 24.
Grunwald_2015_Pixel-wiseHybridImageRegistration.pdf (2.42 MB)
(2015). 
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). 
Support Vector Machines for Classification of Geometric Primitives in Point Clouds.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 80-95.
Caputo et al_2015_Support vector machines for classification of geometric primitives in point clouds.pdf (2.64 MB)
(2015). 
A Virtual-Reality 3d-Laser-Scan Simulation.
BW-CAR| SINCOM. 68.
(2015).