• Richard Petersens Plads, 321, 116

    2800 Kgs. Lyngby

    Denmark

20052023

Research output per year

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Research Output

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Article in proceedings
2019

A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators

Vording, M. F., Okeyo, P. O., Rubio Guillamón, J. J., Schmidt, M. N., Larsen, P. E. & Alstrøm, T. S., 2019, Proceedings of 2019 IEEE International Workshop on Machine Learning for Signal Processing. IEEE, 6 p.

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

Open Access
File
19 Downloads (Pure)

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

Peak Detection and Baseline Correction Using a Convolutional Neural Network

Schmidt, M. N., Alstrom, T. S., Svendstorp, M. & Larsen, J., 1 May 2019, Proceedings of 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 . IEEE, p. 2757-2761 8682311

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

2018

Testing a Model of Destination Image Formation: Application of Nonparametric Bayesian Relational Modeling to Destination Image Analysis

Glückstad, F. K., Schmidt, M. N. & Mørup, M., 2018, 2018 Global Marketing Conference at Tokyo Proceedings. Choi, J. (ed.). Global Alliance of Marketing and Management Associations, Vol. 2018. p. 63-64 2 p. (Global Fashion Management Conference).

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

Testing group differences in state transition structure of dynamic functional connectivity models

Nielsen, S. F. V., Vidaurre, D., Madsen, K. H., Schmidt, M. N. & Mørup, M., 2018, Proceedings of 2018 International Workshop on Pattern Recognition in Neuroimaging. IEEE, p. 1-4

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

Understanding Mindsets Across Markets, Internationally: A Public-private Innovation Project for Developing a Tourist Data Analytic Platform

Albers, K. J., Schmidt, M. N., Litong-Palima, M., Mørup, M., Bonnevie, R. & Kano Glückstad, F., 2018, Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC). S. R., S. I. A., C. D., T. C., W. C., M. N., E. T., S. C., C-H. L., H. T., J-J. Y., T. A., Z. Z. & K. H. (eds.). IEEE, p. 159-164 6 p.

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

1 Downloads (Pure)
2017

A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy

Alstrøm, T. S., Schmidt, M. N., Rindzevicius, T., Boisen, A. & Larsen, J., 2017, Proceedings of the 42nd IEEE International Conference on Acostics, Speech and Signal Processing. IEEE, p. 2317-21

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

Open Access
File
364 Downloads (Pure)

Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures

Bonnevie, R., Schmidt, M. N. & Mørup, M., 2017, Proceedings of 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, p. 1-6 6 p.

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

Modeling dynamic functional connectivity using a wishart mixture model

Nielsen, S. F. V., Madsen, K. H., Schmidt, M. N. & Mørup, M., 2017, Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging. IEEE, p. 1-4 4 p. (2017 International Workshop on Pattern Recognition in Neuroimaging (prni)).

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

Open Access
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295 Downloads (Pure)

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

Whole-brain functional connectivity predicted by indirect structural connections

Røge, R., Ambrosen, K. M. S., Albers, K. J., Eriksen, C. T., Liptrot, M. G., Schmidt, M. N., Madsen, K. H. & Mørup, M., 2017, Proceedings of 2017 International Workshop on Pattern Recognition in Neuroimaging . IEEE, p. 4 pp. (2017 International Workshop on Pattern Recognition in Neuroimaging (prni)).

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

2016

Bayesian latent feature modeling for modeling bipartite networks with overlapping groups

Jørgensen, P. H., Mørup, M., Schmidt, M. N. & Herlau, T., 2016, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016). IEEE, 6 p.

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

Completely random measures for modelling block-structured sparse networks

Herlau, T., Schmidt, M. N. & Mørup, M., 2016, Advances in Neural Information Processing (NIPS 2016). Neural Information Processing Systems Foundation, 12 p.

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

Open Access
File
108 Downloads (Pure)

The influence of hyper-parameters in the infinite relational model

Albers, K. J., Mørup, M. & Schmidt, M. N., 2016, Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016). IEEE, 6 p.

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

2015

Nonparametric modeling of dynamic functional connectivity in fmri data

Nielsen, S. F. V., Madsen, K. H., Røge, R., Schmidt, M. N. & Mørup, M., 2015, Proceedings of the 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2015). 8 p.

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

Open Access
File
325 Downloads (Pure)

Numerical approximations for speeding up mcmc inference in the infinite relational model

Schmidt, M. N. & Albers, K. J., 2015, Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015). IEEE, p. 2781-2785 (Proceedings of the European Signal Processing Conference).

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

Open Access
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191 Downloads (Pure)

Unsupervised segmentation of task activated regions in fmRI

Røge, R., Madsen, K. H., Schmidt, M. N. & Mørup, M., 2015, Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2015). IEEE, 6 p.

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

2014

Discovering hierarchical structure in normal relational data

Schmidt, M. N., Herlau, T. & Mørup, M., 2014, Proceedings of the 4th International Workshop on Cognitive Information Processing. IEEE, 6 p.

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

Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization

Alstrøm, T. S., Frøhling, K. B., Larsen, J., Schmidt, M. N., Bache, M., Schmidt, M. S., Jakobsen, M. H. & Boisen, A., 2014, Proceedings of the 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) . Mboup, M., Adali, T., Moreau, É. & Larsen, J. (eds.). IEEE, 6 p.

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

Nonparametric Bayesian Clustering of Structural Whole Brain Connectivity in Full Image Resolution

Ambrosen, K. M. S., Albers, K. J., Dyrby, T. B., Schmidt, M. N. & Mørup, M., 2014, Proceedings of the 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014). IEEE, 4 p.

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

Nonparametric statistical structuring of knowledge systems using binary feature matches

Mørup, M., Glückstad, F. K., Herlau, T. & Schmidt, M. N., 2014, Proceedings of MLSP 2014. IEEE, 6 p.

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

2013

Analysis of Conceptualization Patterns across Groups of People

Glückstad, F. K., Herlau, T., Schmidt, M. N., Mørup, M., Rzepka, R. & Araki, K., 2013, 2013 Conference on Technologies and Applications of Artificial Intelligence. IEEE, p. 349-354

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

Analysis of Subjective Conceptualizations Towards Collective Conceptual Modelling

Glückstad, F. K., Herlau, T., Schmidt, M. N. & Mørup, M., 2013, Proceedings of the 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013). Japanese Society for Artificial Intelligence, 8 p. Paper 795

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

Comparing Structural Brain Connectivity by the Infinite Relational Model

Ambrosen, K. M. S., Herlau, T., Dyrby, T., Schmidt, M. N. & Mørup, M., 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI). IEEE, p. 50-53

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

Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough

Albers, K. J., Moth, A. L. A., Mørup, M. & Schmidt, M. N., 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 6 p. (Machine Learning for Signal Processing).

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

Modeling Temporal Evolution and Multiscale Structure in Networks

Herlau, T., Mørup, M. & Schmidt, M. N., 2013, Proceedings of the 30 th International Conference on Machine Learning. p. 960-968 (JMLR: Workshop and Conference Proceedings; No. Cycle 3, Vol. 28).

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

Open Access
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128 Downloads (Pure)

Unsupervised knowledge structuring Application of Infinite Relational Models to the FCA visualization

Glückstad, F. K., Herlau, T., Schmidt, M. N. & Mørup, M., 2013, 2013 International Conference on Signal-Image Technology & Internet-Based Systems. IEEE, p. 233-240

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

2012

Detecting Hierarchical Structure in Networks

Herlau, T., Mørup, M., Schmidt, M. N. & Hansen, L. K., 2012, 2012 3rd International Workshop on Cognitive Information Processing (CIP). IEEE, 6 p.

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

Haussdorff and hellinger for colorimetric sensor array classification

Alstrøm, T. S., Jensen, B. S., Schmidt, M. N., Kostesha, N. & Larsen, J., 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 978-1-4673-1025-3: IEEE, 6 p. (Machine Learning for Signal Processing).

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

Interactive 3D audio: Enhancing awareness of details in immersive soundscapes?

Schmidt, M. N., Schwartz, S. & Larsen, J., 2012, AES Convention Papers - 133rd Convention. Audio Engineering Society, 7 p.

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

Modelling dense relational data

Herlau, T., Mørup, M., Schmidt, M. N. & Hansen, L. K., 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 978-1-4673-1025-3: IEEE, 6 p. (Machine Learning for Signal Processing).

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

Nonlinear Impairment Compensation Using Expectation Maximization for PDM 16-QAM Systems

Zibar, D., Winther, O., Franceschi, N., Borkowski, R., Caballero Jambrina, A., Arlunno, V., Schmidt, M. N., Gonzales, N. G., Mao, B., Larsen, K. J. & Tafur Monroy, I., 2012, ECOC Technical Digest. Optical Society of America, p. Th.1.D.2 3 p.

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

Open Access
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466 Downloads (Pure)
2011

Infinite multiple membership relational modeling for complex networks

Mørup, M., Schmidt, M. N. & Hansen, L. K., 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE

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

Transformation invariant sparse coding

Mørup, M. & Schmidt, M. N., 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, (Machine Learning for Signal Processing).

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

2010

Infinite non-negative matrix factorization

Schmidt, M. N. & Mørup, M., 2010, European Signal Processing Conference (EUSIPCO).

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

2009

Bayesian non-negative matrix factorization

Schmidt, M. N., Winther, O. & Hansen, L. K., 2009, Proceedings of the International Conference on Independent Component Analysis and Signal Separation.

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

Bayesian Nonnegative Matrix Factorization with Volume Prior for Unmixing of Hyperspectral Images

Arngren, M., Schmidt, M. N. & Larsen, J., 2009, 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2009). IEEE, p. 1-6

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

Open Access
File
280 Downloads (Pure)
2008

Reduction of Non-stationary Noise using a Non-negative Latent Variable Decomposition

Schmidt, M. N. & Larsen, J., 2008, Machine Learning for Signal Processing, IEEE Workshop on. IEEE

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

Open Access
File
247 Downloads (Pure)

Structured non-negative matrix factorization with sparsity patterns

Laurberg, H., Schmidt, M. N., Christensen, M. G. & Jensen, S. H., 2008, Proceedings of the Asilomar Conference on Signals, Systems and Computers. IEEE

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

2007

Linear Regression on Sparse Features for Single-Channel Speech Separation

Schmidt, M. N. & Olsson, R. K., 2007, Applications of Signal Processing to Audio and Acoustics: IEEE Workshop on (WASPAA). IEEE

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

Open Access
File
244 Downloads (Pure)

Single-Channel Speech Separation using Sparse Non-Negative Matrix Factorization

Schmidt, M. N. & Olsson, R. K., 2007, Spoken Language Proceesing, ISCA International Conference on (INTERSPEECH).

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

Open Access
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817 Downloads (Pure)

Wind Noise Reduction using Non-negative Sparse Coding

Schmidt, M. N., Larsen, J. & Hsiao, F-T., 2007, Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP: Machine Learning for Signal Processing 17. IEEE, p. 431-436 4414345

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

Open Access
File
791 Downloads (Pure)
2006

Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation

Schmidt, M. N. & Mørup, M., 2006, ICA2006: Source Separation and Independent Component Analysis, International Conference on (ICA).

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

Open Access
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447 Downloads (Pure)