Mikkel N. Schmidt
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Single-channel speech separation using sparse non-negative matrix factorization
MN Schmidt, RK Olsson
Ninth International Conference on Spoken Language Processing, 2006
4032006
Bayesian non-negative matrix factorization
MN Schmidt, O Winther, L Hansen
Independent Component Analysis and Signal Separation, 540-547, 2009
2172009
Nonnegative matrix factor 2-D deconvolution for blind single channel source separation
MN Schmidt, M Mørup
Independent Component Analysis and Blind Signal Separation, 700-707, 2006
1872006
Wind noise reduction using non-negative sparse coding
MN Schmidt, J Larsen, FT Hsiao
2007 IEEE workshop on machine learning for signal processing, 431-436, 2007
1812007
Nonnegative matrix factorization with Gaussian process priors
MN Schmidt, H Laurberg
Computational intelligence and neuroscience 2008, 2008
992008
Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission
D Zibar, O Winther, N Franceschi, R Borkowski, A Caballero, V Arlunno, ...
Optics express 20 (26), B181-B196, 2012
802012
Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior
M Arngren, MN Schmidt, J Larsen
Journal of Signal Processing Systems, 1-18, 2010
772010
Infinite multiple membership relational modeling for complex networks
M Mørup, MN Schmidt, LK Hansen
Machine Learning for Signal Processing (MLSP), 2011 IEEE International …, 2011
672011
Nonparametric Bayesian modeling of complex networks: An introduction
MN Schmidt, M Morup
IEEE Signal Processing Magazine 30 (3), 110-128, 2013
652013
Sparse non-negative matrix factor 2-d deconvolution
M Mørup, MN Schmidt
Technical Report, 2006
56*2006
Shift Invariant Sparse Coding
M Mørup, MN Schmidt
Technical Report, 2008
55*2008
Shift invariant sparse coding of image and music data
M Mørup, MN Schmidt, LK Hansen
Technical Report, 2008
552008
Bayesian community detection
M Mørup, MN Schmidt
Neural computation 24 (9), 2434-2456, 2012
502012
Deep learning spectroscopy: Neural networks for molecular excitation spectra
K Ghosh, A Stuke, M Todorović, PB Jørgensen, MN Schmidt, A Vehtari, ...
Advanced science 6 (9), 1801367, 2019
492019
Function factorization using warped Gaussian processes
MN Schmidt
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
412009
Machine learning-based screening of complex molecules for polymer solar cells
PB Jørgensen, M Mesta, S Shil, JM García Lastra, KW Jacobsen, ...
The Journal of chemical physics 148 (24), 241735, 2018
372018
Completely random measures for modelling block-structured sparse networks
T Herlau, MN Schmidt, M Mørup
Advances in Neural Information Processing Systems, 4260-4268, 2016
372016
Linear regression on sparse features for single-channel speech separation
MN Schmidt, RK Olsson
Applications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop …, 2007
342007
Bayesian nonnegative matrix factorization with volume prior for unmixing of hyperspectral images
M Arngren, MN Schmidt, J Larsen
Machine Learning for Signal Processing, 2009. MLSP 2009. IEEE International …, 2009
332009
Reduction of non-stationary noise using a non-negative latent variable decomposition
MN Schmidt, J Larsen
Machine Learning for Signal Processing, 2008. MLSP 2008. IEEE Workshop on …, 2008
302008
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Artikler 1–20