Research Output per year
Research Output 2016 2019
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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-review
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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-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 proceeding › Article in proceedings › Research › peer-review