Martin Sundin
Title
Cited by
Cited by
Year
Alternating least-squares for low-rank matrix reconstruction
D Zachariah, M Sundin, M Jansson, S Chatterjee
IEEE Signal Processing Letters 19 (4), 231-234, 2012
512012
Alternating strategies with internal ADMM for low-rank matrix reconstruction
K Li, M Sundin, CR Rojas, S Chatterjee, M Jansson
Signal Processing 121, 153-159, 2016
122016
A connectedness constraint for learning sparse graphs
M Sundin, A Venkitaraman, M Jansson, S Chatterjee
2017 25th European Signal Processing Conference (EUSIPCO), 151-155, 2017
112017
Bayesian learning for time-varying linear prediction of speech
A Casamitjana, M Sundin, P Ghosh, S Chatterjee
2015 23rd European Signal Processing Conference (EUSIPCO), 325-329, 2015
62015
Relevance singular vector machine for low-rank matrix sensing
M Sundin, S Chatterjee, M Jansson, CR Rojas
Signal Processing and Communications (SPCOM), 2014 International Conference …, 2014
62014
Bayesian learning for robust principal component analysis
M Sundin, S Chatterjee, M Jansson
2015 23rd European Signal Processing Conference (EUSIPCO), 2361-2365, 2015
52015
Combined modeling of sparse and dense noise improves Bayesian RVM
M Sundin, S Chatterjee, M Jansson
2014 22nd European Signal Processing Conference (EUSIPCO), 1841-1845, 2014
52014
Relevance singular vector machine for low-rank matrix reconstruction
M Sundin, CR Rojas, M Jansson, S Chatterjee
IEEE Transactions on Signal Processing 64 (20), 5327-5339, 2016
42016
Beamformers for sparse recovery
M Sundin, D Sundman, M Jansson
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
42013
A dynamical symmetry for supermembranes
J de Woul, J Hoppe, D Lundholm, M Sundin
arXiv preprint arXiv:1004.0266, 2010
32010
Combined modeling of sparse and dense noise for improvement of relevance vector machine
M Sundin, S Chatterjee, M Jansson
arXiv preprint arXiv:1501.02579, 2015
22015
Conditional prior based lmmse estimation of sparse signals
M Sundin, M Jansson, S Chatterjee
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
22013
Bayesian methods for sparse and low-rank matrix problems
M Sundin
KTH Royal Institute of Technology, 2016
12016
Bayesian Cramer-Rao bounds for factorized model based low rank matrix reconstruction
M Sundin, S Chatterjee, M Jansson
2016 24th European Signal Processing Conference (EUSIPCO), 1227-1231, 2016
12016
Greedy minimization of l1-norm with high empirical success
M Sundin, S Chatterjee, M Jansson
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
12015
Bayesian learning for low-rank matrix reconstruction
M Sundin, CR Rojas, M Jansson, S Chatterjee
arXiv preprint arXiv:1501.05740, 2015
12015
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction
K Li, M Sundin, CR Rojas, S Chatterjee, M Jansson
arXiv preprint arXiv:1407.3410, 2014
12014
Extrinsic curvature effects in brane-world scenarios
E Langmann, M Sundin
arXiv preprint arXiv:1103.3230, 2011
2011
A dynamical symmetry for supermembranes
J Hoppe, D Lundholm, M Sundin
Journal of High Energy Physics 2011 (3), 2011
2011
Aspects of extra dimensions and membranes
M Sundin
KTH Royal Institute of Technology, 2011
2011
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Articles 1–20