Biblio
Learning to Cluster.
learning_to_cluster.pdf (1.82 MB)
(2018). Minimalistic visual navigation.
Fortschr.-Ber. VDI Reihe 8.
(1998).
(2020).
(2020). Beyond ImageNet: Deep Learning in Industrial Practice.
Applied Data Science. 205-232.
(2019). Crowd Management in der Lehre.
Seamless Learning, Grenz- und kontextübergreifendes Lehren und Lernen in der Bodenseeregion. 123-132.
(2022). Extracting egomotion from optic flow: limits of accuracy and neural matched filters.
(Zanker, J. M., & Zeil J., Ed.).{Motion Vision: Computational, Neural and Ecological Constraints}. 143-168. Dahmen, Franz, Krapp_2001_Extracting egomotion from optic flow- limits of accuracy and neural matched filters.pdf (223.04 KB)
(2001). 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). Mathematik mit digitalen Bildern sichtbar machen.
Seamless Learning, Grenz- und kontextübergreifendes Lehren und Lernen in der Bodenseeregion. 133-145.
(2022). A robot system for biomimetic navigation - from snapshots to metric embeddings of view graphs.
(Yeap, A. W., & Jefferies M., Ed.).{Robotics and Cognitive Approaches to Spatial Mapping}. 38, 297–314.
(2008). Stochastic modelling of ion diffusion in complex systems.
Anomalous Diffusion From Basics to Applications. 175–185.
(1999). Von der Symmetriegruppe des Dreiecks zur Glättung von industriellen Netzen.
Die Basis der Vielfalt - 10. Tagung der DGfGG.
(2016).
(2023).
3d hand gesture recognition based on sensor fusion of commodity hardware.
(Reiterer, H., & Deussen O., Ed.).Mensch und Computer. GestureRecognition.pdf (378.26 KB)
(2012). 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). Adaptive tetrahedral subdivision for finite element analysis.
(.N., N., Ed.).Computer Graphics International, Singapore 2010. TetraSubFEA.pdf (3.43 MB)
(2010). Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten.
(Thielscher, M., & Bornscheuer S.-E., Ed.).Fortschritte der {Künstlichen Intelligenz}. 92. Franz et al._1996_Aktives Erwerben eines Ansichtsgraphen zur diskreten Repräsentation offener Umwelten.pdf (63.1 KB)
(1996). Analysis and tuning of subdivision schemes.
(Jüttler, B., Ed.).Proceedings of Spring Conference on Computer Graphics SCCG 2005. ATSubSchemes.pdf (765.94 KB)
(2005). Analyzing environmental conditions and vital signs to increase healthy living.
Mobile Networks for Biometric Data Analysis.
(2016). Automatic classification of non-small cell lung cancer histologic sub-types by deep learning.
VIRCHOWS ARCHIV. 108-108.
(2018). Bats can use echolocation calls for individual recognition.
{Proc. Sensory coding and the natural environment 2008}.
(2008). Biologically-inspired vs. CNN texture representations in novelty detection.
Applications of Machine Learning 2021. 118430I. Spie2021.pdf (5.33 MB)
(2021). Can fly tangential neurons be used to estimate self-motion?.
(Willshaw, D., & Murray A., Ed.).{Proc. of the 9th Intl. Conf. on Artificial Neural Networks (ICANN 1999)}. CP 470, 994-999. Franz et al._1999_Can fly tangential neurons be used to estimate self-motion.pdf (170.74 KB)
(1999). 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).