Biblio

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G
Ginkel, I., & Umlauf G. (2008).  Local energy-optimizing subdivision algorithms. Computer Aided Geometric Design. 25, 137-147.PDF icon OptSub.pdf (706.26 KB)
Ginkel, I., & Umlauf G. (2006).  Loop subdivision with curvature control. (Polthier, K., & Sheffer A., Ed.).Eurographics Symposium on Geometry Processing. PDF icon LoopSubCurv.pdf (6.03 MB)
H
Hermann, M., Umlauf G., & Franz M. O. (2022).  Large-scale independent component analysis by speeding up Lie group techniques. International Conference on Acoustics, Speech, and Signal Processing, ICASSP. PDF icon conference_101719.pdf (646.58 KB)
L
Laube, P., Franz M. O., & Umlauf G. (2018).  Learnt knot placement in B-spline curve approximation using support vector machines. Computer Aided Geometric Design. 62, 104–116.PDF icon GMP18.pdf (865.85 KB)
Lukic, Y. X., Vogt C., Dürr O., & Stadelmann T. (2017).  Learning embeddings for speaker clustering based on voice equality. Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International Workshop on. 1–6.PDF icon MLSP_2017.pdf (1.34 MB)
M
McAuley, J. J., Caetano T. S., Smola A. J., & Franz M. O. (2006).  Learning high-order MRF priors of color images. {Proc. of the 23rd Intl. Conf. on Machine Learning (ICML 2006)}. 617–624.PDF icon McAuley et al._2006_Learning high-order MRF priors of color images.pdf (981.67 KB)
Meier, B. Bruno, Stadelmann T., & Dürr O. (2018).  Learning to Cluster. PDF icon learning_to_cluster.pdf (1.82 MB)
Meier, B. Bruno, Elezi I., Amirian M., Dürr O., & Stadelmann T. (2018).  Learning Neural Models for End-to-End Clustering. IAPR Workshop on Artificial Neural Networks in Pattern Recognition. 126–138.PDF icon ANNPR_2018a.pdf (3.43 MB)