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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2018
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Deep Generative Models for Molecular Science

Jørgensen, Peter Bjørn ; Schmidt, Mikkel Nørgaard ; Winther, Ole
in: Molecular Informatics, vol: 37, issue: 1-2

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1002/minf.201700133

 

Efficient computation for Bayesian comparison of two proportions

Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Statistics and Probability Letters, vol: 145, pages: 57-62, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1016/j.spl.2018.08.011

 

Functional Connectivity using a Wishart Mixture Model

Nielsen, Søren Føns Vind ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of International Workshop on Pattern Recognition in Neuroimaging , 2018
Presented at:
2017 International Workshop on Pattern Recognition in Neuroimaging

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2018

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Machine learning-based screening of complex molecules for polymer solar cells

Jørgensen, Peter Bjørn ; Mesta, Murat ; Shil, Suranjan ; García Lastra, Juan Maria ; Jacobsen, Karsten Wedel ; Thygesen, Kristian Sommer ; Schmidt, Mikkel N.
in: Journal of Chemical Physics, vol: 148, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1063/1.5023563

 

Predictive assessment of models for dynamic functional connectivity

Nielsen, Søren Føns Vind ; Schmidt, Mikkel Nørgaard ; Madsen, Kristoffer Hougaard ; Mørup, Morten
in: Neuroimage, vol: 171, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1016/j.neuroimage.2017.12.084

 

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

Glückstad, Fumiko Kano ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: 2018 Global Marketing Conference at Tokyo Proceedings, pages: 63-64, 2018, Global Alliance of Marketing and Management Associations
Presented at:
2018 Global Marketing Conference at Tokyo

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.15444/GMC2018.01.07.02

 

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

Nielsen, Søren Føns Vind ; Vidaurre, Diego ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of 2018 International Workshop on Pattern Recognition in Neuroimaging, pages: 1-4, 2018, IEEE
Presented at:
8th International Workshop on Pattern Recognition in Neuroimaging

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1109/PRNI.2018.8423966

 

Understanding Mindsets Across Markets, Internationally

Albers, Kristoffer Jon ; Schmidt, Mikkel Nørgaard ; Litong-Palima, Marisciel ; Mørup, Morten ; Bonnevie, Rasmus ; Kano Glückstad, Fumiko
part of: Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), pages: 159-164, 2018, IEEE
Presented at:
42nd Ieee Annual Computer Software and Applications Conference

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2018     |    DOI: https://doi.org/10.1109/COMPSAC.2018.10221

2017
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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, pages: 2317-21, 2017, IEEE
Presented at:
42nd IEEE International Conference on Acostics, Speech and Signal Processing

Type: Article in proceedings (Peer reviewed)

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

 

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), pages: 1-6, 2017, IEEE
Presented at:
2017 IEEE international workshop on machine learning for signal processing

Type: Article in proceedings (Peer reviewed)

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

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Examination of heterogeneous societies: Identifying subpopulations by contrasting cultures

Glückstad, Fumiko Kano ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Journal of Cross-Cultural Psychology, vol: 48, issue: 1, pages: 39– 57

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2017     |    DOI: https://doi.org/10.1177/0022022116672346

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

Røge, Rasmus ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Neural Computation, vol: 29, issue: 10, pages: 2712-2741, 2011

Type: Journal article (Peer reviewed)

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

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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, pages: 1-4, 2017, IEEE
Presented at:
2017 International Workshop on Pattern Recognition in Neuroimaging

Type: Article in proceedings (Peer reviewed)

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

 

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, pages: 6314-6318, 2017, IEEE
Presented at:
42nd IEEE International Conference on Acoustics, Speech and Signal Processing

Type: Article in proceedings (Peer reviewed)

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

 

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

Type: Article in proceedings (Peer reviewed)

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

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), 2016, IEEE
Presented at:
26th IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

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

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Completely random measures for modelling block-structured sparse networks

Herlau, Tue ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Advances in Neural Information Processing (NIPS 2016), 2016, Neural Information Processing Systems Foundation
Presented at:
29th Annual Conference on Neural Information Processing Systems (NIPS 2016)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2016

 

The influence of hyper-parameters in the infinite relational model

Albers, Kristoffer Jon ; Mørup, Morten ; Schmidt, Mikkel Nørgaard
part of: Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), 2016, IEEE
Presented at:
26th IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2016     |    DOI: https://doi.org/10.1109/MLSP.2016.7738908

2015
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Nonparametric modeling of dynamic functional connectivity in fmri data

Nielsen, Søren Føns Vind ; Madsen, Kristoffer H. ; Røge, Rasmus ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of the 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2015), 2015
Presented at:
5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2015)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2015

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

Schmidt, Mikkel Nørgaard ; Albers, Kristoffer Jon
part of: Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), pages: 2781-2785, 2015, IEEE
Presented at:
23rd European Signal Processing Conference (EUSIPCO 2015)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2015     |    DOI: https://doi.org/10.1109/EUSIPCO.2015.7362891

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Statistical analysis of large areas of Raman mapped DNA functionalized gold coated silicon nanopillar SERS substrates

Frøhling, Kasper Bayer ; Alstrøm, Tommy Sonne ; Bache, Michael ; Schmidt, Michael Stenbæk ; Schmidt, Mikkel Nørgaard ; Larsen, Jan ; Jakobsen, Mogens Havsteen ; Boisen, Anja
Presented at:
8th International Conference on Advanced Vibrational Spectroscopy

Type: Conference abstract for conference (Peer reviewed)

Status: Published     |    Year: 2015

 

Unsupervised segmentation of task activated regions in fmRI

Røge, Rasmus ; Madsen, Kristoffer Hougaard ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2015), 2015, IEEE
Presented at:
25th IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2015     |    DOI: https://doi.org/10.1109/MLSP.2015.7324384

2014
 

Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links

Glückstad, Fumiko Kano ; Herlau, Tue ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Artificial Intelligence and Law, vol: 22, issue: 1, pages: 61-108, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2014     |    DOI: https://doi.org/10.1007/s10506-013-9150-2

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Community structure in resting state complex networks

Andersen, Kasper Winther ; Madsen, Kristoffer H. ; Siebner, Hartwig Roman ; Schmidt, Mikkel Nørgaard ; Mørup, Morten ; Hansen, Lars Kai
Presented at:
20th Annual Meeting of the Organization for Human Brain Mapping

Type: Conference abstract for conference (Peer reviewed)

Status: Published     |    Year: 2014

 

Discovering hierarchical structure in normal relational data

Schmidt, Mikkel Nørgaard ; Herlau, Tue ; Mørup, Morten
part of: Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014, IEEE
Presented at:
4th International Workshop on Cognitive Information Processing (CIP 2014)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2014     |    DOI: https://doi.org/10.1109/CIP.2014.6844498

 

Errata to "Bayesian community detection"

Mørup, Morten ; Schmidt, Mikkel Nørgaard
in: Neural Computation, vol: 26, issue: 6, pages: 1236-1237, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2014     |    DOI: https://doi.org/10.1162/neco_c_00597

 

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

Alstrøm, Tommy Sonne ; Frøhling, Kasper Bayer ; Larsen, Jan ; Schmidt, Mikkel Nørgaard ; Bache, Michael ; Schmidt, Michael Stenbæk ; Jakobsen, Mogens Havsteen ; Boisen, Anja
part of: Proceedings of the 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) , 2014, IEEE
Presented at:
24th IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2014     |    DOI: https://doi.org/10.1109/MLSP.2014.6958925

 

Infinite-degree-corrected stochastic block model

Herlau, Tue ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: Physical Review E, vol: 90, issue: 3

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2014     |    DOI: https://doi.org/10.1103/PhysRevE.90.032819

 

Joint Iterative Carrier Synchronization and Signal Detection Employing Expectation Maximization

Zibar, Darko ; de Carvalho, Luis Henrique Hecker ; Estaran Tolosa, Jose Manuel ; Silva, Edson ; Franciscangelis, Carolina ; Ribeiro, Vitor ; Borkowski, Robert ; Winther, Ole ; Schmidt, Mikkel Nørgaard ; Oliveira, Julio ; Tafur Monroy, Idelfonso
in: Journal of Lightwave Technology, vol: 32, issue: 8, pages: 1608-1615, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2014     |    DOI: https://doi.org/10.1109/JLT.2014.2308636

 

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

Ambrosen, Karen Marie Sandø ; Albers, Kristoffer Jon ; Dyrby, Tim B. ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of the 4th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2014), 2014, IEEE
Presented at:
4th International Workshop on Pattern Recognition in Neuroimaging

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2014

 

Non-parametric Bayesian graph models reveal community structure in resting state fMRI

Andersen, Kasper Winther ; Madsen, Kristoffer H. ; Siebner, Hartwig Roman ; Schmidt, Mikkel Nørgaard ; Mørup, Morten ; Hansen, Lars Kai
in: NeuroImage, vol: 100, pages: 301-315, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2014     |    DOI: https://doi.org/10.1016/j.neuroimage.2014.05.083

 

Nonparametric statistical structuring of knowledge systems using binary feature matches

Mørup, Morten ; Glückstad, Fumiko Kano ; Herlau, Tue ; Schmidt, Mikkel Nørgaard
part of: Proceedings of MLSP 2014, 2014, IEEE
Presented at:
24th IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2014

2013
 

Analysis of Conceptualization Patterns across Groups of People

Glückstad, Fumiko Kano ; Herlau, Tue ; Schmidt, Mikkel Nørgaard ; Mørup, Morten ; Rzepka, Rafal ; Araki, Kenji
part of: 2013 Conference on Technologies and Applications of Artificial Intelligence, pages: 349-354, 2013, IEEE
Presented at:
2013 Conference on Technologies and Applications of Artificial Intelligence (TAAI)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2013

 

Analysis of Subjective Conceptualizations Towards Collective Conceptual Modelling

Glückstad, Fumiko Kano ; Herlau, Tue ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: Proceedings of the 27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013), 2013, Japanese Society for Artificial Intelligence
Presented at:
27th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2013)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2013

 

Comparing Structural Brain Connectivity by the Infinite Relational Model

Ambrosen, Karen Marie Sandø ; Herlau, Tue ; Dyrby, Tim ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: 2013 International Workshop on Pattern Recognition in Neuroimaging (PRNI), pages: 50-53, 2013, IEEE
Presented at:
3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI 2013)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2013     |    DOI: https://doi.org/10.1109/PRNI.2013.22

 

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

Albers, Kristoffer Jon ; Moth, Andreas Leon Aagard ; Mørup, Morten ; Schmidt, Mikkel Nørgaard
part of: 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2013, IEEE
Presented at:
2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2013     |    DOI: https://doi.org/10.1109/MLSP.2013.6661904

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Modeling Temporal Evolution and Multiscale Structure in Networks

Herlau, Tue ; Mørup, Morten ; Schmidt, Mikkel Nørgaard
part of: Proceedings of the 30 th International Conference on Machine Learning, pages: 960-968, 2013
Presented at:
30th International Conference on Machine Learning (ICML 2013)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2013

 

Nonparametric Bayesian Modeling of Complex Networks

Schmidt, Mikkel Nørgaard ; Mørup, Morten
in: I E E E - Signal Processing Magazine, vol: 30, issue: 3, pages: 110-128, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2013     |    DOI: https://doi.org/10.1109/MSP.2012.2235191

 

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

Glückstad, Fumiko Kano ; Herlau, Tue ; Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: 2013 International Conference on Signal-Image Technology & Internet-Based Systems, pages: 233-240, 2013, IEEE
Presented at:
9th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS 2013)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2013     |    DOI: https://doi.org/10.1109/SITIS.2013.48

2012
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Bayesian community detection.

Mørup, Morten ; Schmidt, Mikkel N
in: Neural Computation, vol: 24, issue: 9, pages: 2434-2456, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2012     |    DOI: https://doi.org/10.1162/NECO_a_00314

 

Detecting Hierarchical Structure in Networks

Herlau, Tue ; Mørup, Morten ; Schmidt, Mikkel Nørgaard ; Hansen, Lars Kai
part of: 2012 3rd International Workshop on Cognitive Information Processing (CIP), 2012, IEEE
Presented at:
3rd International Workshop on Cognitive Information Processing (CIP)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2012     |    DOI: https://doi.org/10.1109/CIP.2012.6232913

 

Haussdorff and hellinger for colorimetric sensor array classification

Alstrøm, Tommy Sonne ; Jensen, Bjørn Sand ; Schmidt, Mikkel Nørgaard ; Kostesha, Natalie ; Larsen, Jan
part of: 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2012, IEEE, 978-1-4673-1025-3
Presented at:
2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2012     |    DOI: https://doi.org/10.1109/MLSP.2012.6349724

 

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

Schmidt, Mikkel Nørgaard ; Schwartz, Stephen ; Larsen, Jan
part of: AES Convention Papers - 133rd Convention, 2012, Audio Engineering Society
Presented at:
133rd AES Convention

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2012

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Joint Modelling of Structural and Functional Brain Networks

Andersen, Kasper Winther ; Herlau, Tue ; Mørup, Morten ; Schmidt, Mikkel Nørgaard ; Madsen, Kristoffer H. ; Lyksborg, Mark ; Dyrby, Tim B. ; Siebner, Hartwig R. ; Hansen, Lars Kai
Presented at:
2nd NIPS Workshop on Machine Learning and Interpretation in NeuroImaging (MLINI 2012)

Type: Paper (Peer reviewed)

Status: Published     |    Year: 2012

 

Modelling dense relational data

Herlau, Tue ; Mørup, Morten ; Schmidt, Mikkel Nørgaard ; Hansen, Lars Kai
part of: 2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2012, IEEE, 978-1-4673-1025-3
Presented at:
2012 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2012     |    DOI: https://doi.org/10.1109/MLSP.2012.6349747

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Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission

Zibar, Darko ; Winther, Ole ; Franceschi, Niccolo ; Borkowski, Robert ; Caballero Jambrina, Antonio ; Arlunno, Valeria ; Schmidt, Mikkel Nørgaard ; Guerrero Gonzalez, Neil ; Mao, Bangning ; Ye, Yabin ; Larsen, Knud J. ; Tafur Monroy, Idelfonso
in: Optics Express, vol: 20, issue: 26, pages: B181-B196, 2011
Presented at:
38th European Conference and Exhibition on Optical Communication

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2012     |    DOI: https://doi.org/10.1364/OE.20.00B181

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

Zibar, Darko ; Winther, Ole ; Franceschi, Niccolo ; Borkowski, Robert ; Caballero Jambrina, Antonio ; Arlunno, Valeria ; Schmidt, Mikkel Nørgaard ; Gonzales, Neil Guerrero ; Mao, Bangning ; Larsen, Knud J. ; Tafur Monroy, Idelfonso
part of: ECOC Technical Digest, pages: Th.1.D.2, 2012, Optical Society of America
Presented at:
38th European Conference and Exhibition on Optical Communication

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2012     |    DOI: https://doi.org/10.1364/ECEOC.2012.Th.1.D.2

2011
 

Infinite multiple membership relational modeling for complex networks

Mørup, Morten ; Schmidt, Mikkel Nørgaard ; Hansen, Lars Kai
part of: 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2011, IEEE
Presented at:
2011 IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2011     |    DOI: https://doi.org/10.1109/MLSP.2011.6064546

 

Transformation invariant sparse coding

Mørup, Morten ; Schmidt, Mikkel Nørgaard
part of: 2011 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2011, IEEE
Presented at:
2011 IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2011     |    DOI: https://doi.org/10.1109/MLSP.2011.6064547

 

Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior

Arngren, Morten ; Schmidt, Mikkel Nørgaard ; Larsen, Jan
in: Journal of Signal Processing Systems, vol: 65, issue: 3, pages: 479-496, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2011     |    DOI: https://doi.org/10.1007/s11265-010-0533-2

2010
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Infinite Multiple Membership Relational Modeling for Complex Networks

Mørup, Morten ; Schmidt, Mikkel Nørgaard ; Hansen, Lars Kai
Presented at:
NIPS Workshop on Networks Across Disciplines in Theory and Application

Type: Conference abstract for conference (Peer reviewed)

Status: Published     |    Year: 2010

 

Infinite Multiple Membership Relational Modeling for Complex Networks

Mørup, Morten ; Schmidt, Mikkel Nørgaard ; Hansen, Lars Kai
Presented at:
Workshop on Networks Across Disciplines: Theory and Applications

Type: Poster (Peer reviewed)

Status: E-pub ahead of print     |    Year: 2010

 

Infinite non-negative matrix factorization

Schmidt, Mikkel Nørgaard ; Mørup, Morten
part of: European Signal Processing Conference (EUSIPCO), 2010
Presented at:
18th European Signal Processing Conference

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2010

 

Reversible jump MCMC for Bayesian NMF

Schmidt, Mikkel Nørgaard ; Mørup, Morten
Presented at:
Monte Carlo Methods for Modern Applications: 2010 NIPS Workshop

Type: Conference abstract for conference (Peer reviewed)

Status: E-pub ahead of print     |    Year: 2010

2009
 

Bayesian non-negative matrix factorization

Schmidt, Mikkel Nørgaard ; Winther, Ole ; Hansen, Lars Kai
part of: Proceedings of the International Conference on Independent Component Analysis and Signal Separation, 2008
Presented at:
International Conference on Independent Component Analysis and Signal Separation

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2009

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

Arngren, Morten ; Schmidt, Mikkel Nørgaard ; Larsen, Jan
part of: 2009 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2009), pages: 1-6, 2009, IEEE
Presented at:
2009 IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2009     |    DOI: https://doi.org/10.1109/MLSP.2009.5306262

2008
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Non-negative matrix factorization with Gaussian process priors

Schmidt, Mikkel Nørgaard ; Laurberg, Hans
in: Computational Intelligence and Neuroscience, vol: 2008, 2011

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2008     |    DOI: https://doi.org/10.1155/2008/361705

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

Schmidt, Mikkel Nørgaard ; Larsen, Jan
part of: Machine Learning for Signal Processing, IEEE Workshop on, 2008, IEEE
Presented at:
2008 IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2008     |    DOI: https://doi.org/10.1109/MLSP.2008.4685528

 

Structured non-negative matrix factorization with sparsity patterns

Laurberg, Hans ; Schmidt, Mikkel Nørgaard ; Christensen, Mads G. ; Jensen, Søren H.
part of: Proceedings of the Asilomar Conference on Signals, Systems and Computers, 2008, IEEE
Presented at:
42nd Asilomar Conference on Signals, Systems, and Computers

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2008

2007
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Linear Regression on Sparse Features for Single-Channel Speech Separation

Schmidt, Mikkel N. ; Olsson, Rasmus Kongsgaard
part of: Applications of Signal Processing to Audio and Acoustics, 2007, IEEE
Presented at:
Applications of Signal Processing to Audio and Acoustics, IEEE Workshop on (WASPAA)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2007     |    DOI: https://doi.org/10.1109/ASPAA.2007.4393010

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

Schmidt, Mikkel N. ; Olsson, Rasmus Kongsgaard
part of: Spoken Language Proceesing, ISCA International Conference on (INTERSPEECH), 2007
Presented at:
Spoken Language Proceesing, ISCA International Conference on (INTERSPEECH)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2007

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Wind Noise Reduction using Non-negative Sparse Coding

Schmidt, Mikkel N. ; Larsen, Jan ; Hsiao, Fu-Tien
part of: Proceedings of the 2007 IEEE Signal Processing Society Workshop, MLSP, pages: 431-436, 2007, IEEE
Presented at:
2007 IEEE International Workshop on Machine Learning for Signal Processing

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2007     |    DOI: https://doi.org/10.1109/MLSP.2007.4414345

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Wind Noise Reduction Using Non-negative Sparse Coding

Schmidt, Mikkel N. ; Larsen, Jan ; Hsiao, Fu-Tien
Presented at:
2007 IEEE International Workshop on Machine Learning for Signal Processing

Type: Sound/Visual production (digital)

Status: Published     |    Year: 2007

2006
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Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation

Schmidt, Mikkel N. ; Mørup, Morten
part of: ICA2006, 2006
Presented at:
Source Separation and Independent Component Analysis, International Conference on (ICA)

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2006

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Sparse Non-negative Matrix Factor 2-D Deconvolution

Mørup, Morten ; Schmidt, Mikkel N.

Type: Report (Peer reviewed)

Status: Published     |    Year: 2006