Biblio
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(2004). Multivariate Regression via Stiefel Manifold Constraints.
(Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}. 262-269.
(2007). Natural neighbor concepts in scattered data interpolation and discrete function approximation.
(Hagen, H., Hering-Bertram M., & Garth C., Ed.).GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets. 
NatNeighborConcepts.pdf (1.21 MB)
NatNeighborConcepts.pdf (1.21 MB)
(2006). Natural neighbor interpolation and order of continuity.
(Hagen, H., Kerren A., & Dannenmann P., Ed.).GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets. NatNeighborInterp.pdf (1.47 MB)
NatNeighborInterp.pdf (1.47 MB)
(1998). Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape.
(Goebel, M., Lang U., Landauer J., & Walper M., Ed.).{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.
(1998). Navigation mit Schnappschüssen..
(Levi, P., Ahlers R.-J., May F., & Schanz M., Ed.).{Mustererkennung 1998. Proc. of the 20th DAGM-Symposium}. 412-428. Franz et al._1998_Navigation mit Schnappschüssen.pdf (300.5 KB)
Franz et al._1998_Navigation mit Schnappschüssen.pdf (300.5 KB)
(2007). Nonlinear receptive field analysis: making kernel methods interpretable.
{Proc. of the Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)}.
(2007). A nonparametric approach to bottom-up visual saliency.
(Schölkopf, B., Platt J., & Hoffmann T., Ed.).{Advances in Neural Information Processing Systems 19}. 19, 689–696. Kienzle et al._2007_A nonparametric approach to bottom-up visual saliency.pdf (879.52 KB)
Kienzle et al._2007_A nonparametric approach to bottom-up visual saliency.pdf (879.52 KB)
(2005). On normals and control nets.
(Martin, R., Bez H., & M. 233-239 S. pages =, Ed.).Mathematics of Surfaces XI. NormalsControlNets.pdf (117.42 KB)
NormalsControlNets.pdf (117.42 KB)
(2015). 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)
OnlineCADReconst.pdf (3.18 MB)
(2013). On-line reconstruction of CAD geometry.
International Conference on 3d Vision. OnlineReconstruction.pdf (392.38 KB)
OnlineReconstruction.pdf (392.38 KB)
(2008). Online triangulation of laser-scan data.
(Garimella, R., Ed.).Proceedings of the 17th International Meshing Roundtable 2008. OnlineTriang.pdf (8.39 MB)
OnlineTriang.pdf (8.39 MB)
(2018). Optical Surface Detection: A novelty detection approach based on CNN-encoded features.
SPIE Optics and Photonics. 10752 - 10752 - 13. Spie2018.pdf (730 KB)
Spie2018.pdf (730 KB)
(2002). Optimal linear estimation of self-motion - a real-world test of a model of fly tangential neurons.
(Prescott, T., & Webb B., Ed.).{SAB02 Workshop on Robotics as Theoretical Biology}.
(2025). Paths and Ambient Spaces in Neural Loss Landscapes.
(Li, Y., Mandt S., Agrawal S., & Khan E., Ed.).Proceedings of The 28th International Conference on Artificial Intelligence and Statistics. 10–18.
(2013). Potential and Limitations of Commercial Sentiment Detection Tools..
ESSEM@ AI* IA. 47–58.
(2021). Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual.
(2021). Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual. Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
(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)
Schall et al_2015_Radiometric calibration of digital cameras using Gaussian processes.PDF (953.2 KB)
(2017). Radiometric calibration of digital cameras using neural networks.
Optics and Photonics for Information Processing XI.
(2016). Radiometric calibration of digital cameras using sparse Gaussian processes.
Workshop Farbbildverarbeitung.
(1999). Recognition-triggered response and the view-graph approach to spatial cognition.
(Freksa, C., & Mark D. M., Ed.).{Spatial Information Theory - Cognitive and Computational Foundations of Geographic Information Science (COSIT 99)}. 1661, 367-380.
(2003). A representation of complex movement sequences based on hierarchical spatio-temporal correspondence for imitation learning in robotics.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 74.
(2003). Robots with cognition?.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}.
(2004). Semi-supervised kernel regression using whitened function classes.
(Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc.\ 26th DAGM Symposium}. 3175, 18 – 26. Franz et al._2004_Semi-supervised kernel regression using whitened function classes.pdf (198.7 KB)
Franz et al._2004_Semi-supervised kernel regression using whitened function classes.pdf (198.7 KB)