Mikkel N. Schmidt
TitleCited byYear
Single-channel speech separation using sparse non-negative matrix factorization
MN Schmidt, RK Olsson
Ninth International Conference on Spoken Language Processing, 2006
Bayesian non-negative matrix factorization
MN Schmidt, O Winther, L Hansen
Independent Component Analysis and Signal Separation, 540-547, 2009
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
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
Nonnegative matrix factorization with Gaussian process priors
MN Schmidt, H Laurberg
Computational intelligence and neuroscience 2008, 2008
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
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
Infinite multiple membership relational modeling for complex networks
M Mørup, MN Schmidt, LK Hansen
Machine Learning for Signal Processing (MLSP), 2011 IEEE International …, 2011
Nonparametric Bayesian modeling of complex networks: An introduction
MN Schmidt, M Morup
IEEE Signal Processing Magazine 30 (3), 110-128, 2013
Shift Invariant Sparse Coding
M Mørup, MN Schmidt
Technical Report, 2008
Shift invariant sparse coding of image and music data
M Mørup, MN Schmidt, LK Hansen
Technical Report, 2008
Sparse non-negative matrix factor 2-d deconvolution
M Mørup, MN Schmidt
Technical Report, 2006
Bayesian community detection
M Mørup, MN Schmidt
Neural computation 24 (9), 2434-2456, 2012
Function factorization using warped Gaussian processes
MN Schmidt
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Completely random measures for modelling block-structured sparse networks
T Herlau, MN Schmidt, M Mørup
Advances in Neural Information Processing Systems, 4260-4268, 2016
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
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
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
Speech separation using non-negative features and sparse non-negative matrix factorization
MN Schmidt
Technical Report, 2007
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
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Articles 1–20