• Richard Petersens Plads, 321, 112

    2800 Kgs. Lyngby

    Denmark

20162019

Research output per year

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Research Output

  • 7 Article in proceedings
  • 3 Journal article
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Article in proceedings
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

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 (Pure)
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