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David Eis, Ph.D.

Affiliations: 
2014 Electrical Engineering Princeton University, Princeton, NJ 
Area:
Biological & Biomedical,Information Sciences & Systems
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"David Eis"
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Peter J. Ramadge grad student 2014 Princeton
 (Machine Learning on Graphs.)

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Publications

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Xu H, Eis DJ, Ramadge PJ. (2013) The generalized lasso is reducible to a subspace constrained lasso Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3268-3272
Lorbert A, Guntupalli JS, Eis DJ, et al. (2013) Collaborative denoising of multi-subject fMRI data Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1008-1012
Lorbert A, Eis D, Kostina V, et al. (2010) Exploiting covariate similarity in sparse regression via the Pairwise Elastic Net Journal of Machine Learning Research. 9: 477-484
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