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Filters: Author is Markus Grasmair  [Clear All Filters]
2021
V. Gogineni, S. R. E. Langberg, V. Naumova, J. F. Nygård, M. Nygård, M. Grasmair and S. Werner. Data-driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective In IEEE Statistical Signal Processing Workshop 2021. IEEE, 2021.
2018
M. Grasmair, T. Klock and V. Naumova. "Adaptive multi-penalty regularization based on a generalized Lasso path." Applied and Computational Harmonic Analysis (2018).PDF icon arxiv_paper.pdf (1.86 MB)
2017
M. Grasmair, T. Klock and V. Naumova. "Adaptive multi-penalty regularization based on a generalized Lasso path." arXiv (2017).
2016
M. Grasmair and V. Naumova. "Conditions on optimal support recovery in unmixing problems by means of multi-penalty regularization." Inverse Problems 32, no. 10 (2016).PDF icon granau15_final.pdf (332.99 KB)