Mikkel Nørgaard Schmidt

Mikkel Nørgaard Schmidt

Associate Professor

DTU COMPUTE
Department of Applied Mathematics and Computer Science

Technical University of Denmark

Richard Petersens Plads

Building 321, room 116

2800 Kgs. Lyngby

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2017
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Bayesian Modelling of Functional Whole Brain Connectivity

Røge, Rasmus ; Mørup, Morten (Main supervisor) ; Schmidt, Mikkel Nørgaard (Supervisor)
Technical University of Denmark (DTU), pages: 163

Type: Ph.D. thesis

Status: Published     |    Year: 2017

  PDF

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

Alstrøm, Tommy Sonne ; Schmidt, Mikkel Nørgaard ; Rindzevicius, Tomas ; Boisen, Anja ; Larsen, Jan
part of: Proceedings of the 42nd IEEE International Conference on Acostics, Speech and Signal Processing (ISBN: 9781509041169), pages: 2317-21, 2017, IEEE,
Presented at:
42nd IEEE International Conference on Acostics, Speech and Signal Processing, 2017, New Orleans

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: http://dx.doi.org/10.1109/ICASSP.2017.7952570

 

Scalable group level probabilistic sparse factor analysis

Hinrich, Jesper Løve ; Nielsen, Søren Føns Vind ; Riis, Nicolai Andre Brogaard ; Eriksen, Casper ; Frøsig, Jacob ; Kristensen, Marco D. F. ; Schmidt, Mikkel Nørgaard ; Madsen, Kristoffer Hougaard ; Mørup, Morten
part of: Proceedings of 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ISBN: 9781509041169), pages: 6314-6318, 2017, IEEE,
Presented at:
42nd IEEE International Conference on Acoustics, Speech and Signal Processing, 2017, New Orleans

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: http://dx.doi.org/10.1109/ICASSP.2017.7953371

  PDF

Modeling dynamic functional connectivity using a wishart mixture model

Nielsen, Søren Føns Vind ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging (ISBN: 978-1-5386-3159-1), pages: 1-4, 2017, IEEE,
Presented at:
2017 International Workshop on Pattern Recognition in Neuroimaging, 2017, Toronto

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: http://dx.doi.org/10.1109/PRNI.2017.7981505

 

Whole-brain functional connectivity predicted by indirect structural connections

Røge, Rasmus ; Ambrosen, Karen Marie Sandø ; Albers, Kristoffer Jon ; Eriksen, Casper Tabassum ; Liptrot, Matthew George ; Schmidt, Mikkel Nørgaard ; Madsen, Kristoffer Hougaard ; Mørup, Morten
part of: Proceedings of 2017 International Workshop on Pattern Recognition in Neuroimaging , pages: 4 pp., 2017, IEEE,
Presented at:
2017 International Workshop on Pattern Recognition in Neuroimaging, 2017, Toronto

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: http://dx.doi.org/10.1109/PRNI.2017.7981496

  PDF

Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data

Røge, Rasmus ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Neural Computation (ISSN: 0899-7667), vol: 29, issue: 10, pages: 2712-2741, 2017

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: http://dx.doi.org/10.1162/neco_a_01000

 

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

Bonnevie, Rasmus ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP) (ISBN: 978-1-5090-6342-0), pages: 1-6, 2017, IEEE,
Presented at:
2017 IEEE international workshop on machine learning for signal processing, 2017, Tokyo

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: http://dx.doi.org/10.1109/MLSP.2017.8168159

2016
 

Bayesian latent feature modeling for modeling bipartite networks with overlapping groups

Jørgensen, Philip H. ; Mørup, Morten ; Schmidt, Mikkel Nørgaard ; Herlau, Tue
part of: Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016) (ISBN: 978-1-5090-0746-2), 2016, IEEE,
Presented at:
26th IEEE International Workshop on Machine Learning for Signal Processing, 2016, Salerno

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2016     |    DOI: http://dx.doi.org/10.1109/MLSP.2016.7738845