Biblio
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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). Analyzing the characteristic map of triangular subdivision schemes.
Constructive Approximation. 16, 145-155. LoopCharMap.pdf (431.79 KB)
(2000). 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 a generalized Loop subdivision scheme.
Computing. 79, 353-363. AnalyzeSubScheme.pdf (190.38 KB)
(2007). The adaptive Delaunay tesselation: A neighborhood covering meshing technique.
Computational Mechanics. 42, 655-669. AdaptDelTess.pdf (1.33 MB)
(2008). Adaptive and feature-preserving subdivision for high-quality tetrahedral meshes.
Computer Graphics Forum. 29, 117-127. AdaptiveSubTetraMeshes.pdf (1022.53 KB)
(2010). Adaptive tetrahedral subdivision for finite element analysis.
(.N., N., Ed.).Computer Graphics International, Singapore 2010. TetraSubFEA.pdf (3.43 MB)
(2010). An accurate real-time multi-camera matching on the GPU for 3d reconstruction.
Journal of WSCG. 19, 9-16. RealTimeMultiCamera.pdf (770.39 KB)
(2011). Applied Data Science in Europe: Challenges for Academia in Keeping Up with a Highly Demanded Topic.
European Computer Science Summit. Amsterdam, Netherlands.
(2013). 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). 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).