Elastic computer input control in six degrees of freedom. - Martin Sundin (2001)

Softly Elastic 6 DOF Input. - Martin Sundin; Morten Fjeld (Int. J. Hum. Comput. Interact., 2009)

Alternating Least-Squares for Low-Rank Matrix Reconstruction. - Dave Zachariah; Martin Sundin; Magnus Jansson; Saikat Chatterjee (IEEE Signal Process. Lett., 2012)

Conditional prior based lmmse estimation of sparse signals. - Martin Sundin; Magnus Jansson; Saikat Chatterjee (EUSIPCO, 2013)

Beamformers for sparse recovery. - Martin Sundin; Dennis Sundman; Magnus Jansson (ICASSP, 2013)

Combined modeling of sparse and dense noise improves Bayesian RVM. - Martin Sundin; Saikat Chatterjee; Magnus Jansson (EUSIPCO, 2014)

Alternating Strategies Are Good For Low-Rank Matrix Reconstruction. - Kezhi Li; Martin Sundin; Cristian R. Rojas; Saikat Chatterjee; Magnus Jansson (CoRR, 2014)

Relevance Singular Vector Machine for low-rank matrix sensing. - Martin Sundin; Saikat Chatterjee; Magnus Jansson; Cristian R. Rojas (CoRR, 2014)

Bayesian learning for time-varying linear prediction of speech. - Adria Casamitjana; Martin Sundin; Prasanta Kumar Ghosh; Saikat Chatterjee (EUSIPCO, 2015)

Bayesian learning for robust principal component analysis. - Martin Sundin; Saikat Chatterjee; Magnus Jansson (EUSIPCO, 2015)

Greedy minimization of l1-norm with high empirical success. - Martin Sundin; Saikat Chatterjee; Magnus Jansson (ICASSP, 2015)

Bayesian Learning for Low-Rank matrix reconstruction. - Martin Sundin; Cristian R. Rojas; Magnus Jansson; Saikat Chatterjee (CoRR, 2015)

Bayesian Cramer-Rao bounds for factorized model based low rank matrix reconstruction. - Martin Sundin; Saikat Chatterjee; Magnus Jansson (EUSIPCO, 2016)

Alternating strategies with internal ADMM for low-rank matrix reconstruction. - Kezhi Li; Martin Sundin; Cristian R. Rojas; Saikat Chatterjee; Magnus Jansson (Signal Process., 2016)

Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction. - Martin Sundin; Cristian R. Rojas; Magnus Jansson; Saikat Chatterjee (IEEE Trans. Signal Process., 2016)

Bayesian methods for sparse and low-rank matrix problems. - Martin Sundin (2016)

A connectedness constraint for learning sparse graphs. - Martin Sundin; Arun Venkitaraman; Magnus Jansson; Saikat Chatterjee (EUSIPCO, 2017)