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  • 2019

    Analysis of Chromatographic Data using the Probabilistic PARAFAC2

    Jørgensen, P. J. H., Nielsen, S. F. V., Hinrich, J. L., Schmidt, M. N., Madsen, K. H. & Mørup, M., 2019, Proceedings of Second Workshop on Machine Learning and the Physical Sciences. 5 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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  • Probabilistic Tensor Train Decomposition

    Hinrich, J. L. & Mørup, M., 2019, Proceedings of 2019 27th European Signal Processing Conference. IEEE, 5 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • 2018

    Probabilistic sparse non-negative matrix factorization

    Hinrich, J. L. & Mørup, M., 2018, Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings. Y. D., S. G., R. M., M. D. P. & D. W. (eds.). p. 488-498 11 p. (Lecture Notes in Computer Science, Vol. 10891).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • Variational bayesian partially observed non-negative tensor factorization

    Hinrich, J. L., Nielsen, S. F. V., Madsen, K. H. & Mørup, M., 2018, Proceedings of 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing. IEEE, p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    3 Downloads (Orbit)
  • 2017

    Scalable group level probabilistic sparse factor analysis

    Hinrich, J. L., Nielsen, S. F. V., Riis, N. A. B., Eriksen, C., Frøsig, J., Kristensen, M. D. F., Schmidt, M. N., Madsen, K. H. & Mørup, M., 2017, Proceedings of 2017 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, p. 6314-6318 (I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data

    Beliveau, V., Papoutsakis, G., Hinrich, J. L. & Mørup, M., 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging. Springer, Vol. 10081. p. 186-198 (Lecture Notes in Computer Science, Vol. 10081).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  • 2016

    Variational group-PCA for intrinsic dimensionality determination in fMRI data

    Hinrich, J. L., Nielsen, S. F. V., Madsen, K. H. & Mørup, M., 2016, Proceedings of the 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2016). IEEE, 4 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review