Michael Zibulevsky

Affiliations: 
1998-2000 Computer Science University of New Mexico, Albuquerque, NM, United States 
Google:
"Michael Zibulevsky"
Mean distance: 15.44 (cluster 17)
 
SNBCP
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Szameit A, Shechtman Y, Osherovich E, et al. (2012) Sparsity-based single-shot subwavelength coherent diffractive imaging. Nature Materials. 11: 455-9
Zibulevsky M, Elad M. (2010) L1-L2 optimization in signal and image processing Ieee Signal Processing Magazine. 27: 76-88
Elad M, Matalon B, Zibulevsky M. (2007) Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization Applied and Computational Harmonic Analysis. 23: 346-367
Bronstein MM, Bronstein AM, Zibulevsky M, et al. (2005) Blind deconvolution of images using optimal sparse representations. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 14: 726-36
Bronstein AM, Bronstein MM, Zibulevsky M. (2005) Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency Ieee Transactions On Signal Processing. 53: 2576-2579
Bronstein AM, Bronstein MM, Zibulevsky M, et al. (2005) Sparse ICA for blind separation of transmitted and reflected images International Journal of Imaging Systems and Technology. 15: 84-91
Kisilev P, Zibulevsky M, Zeevi YY. (2004) A multiscale framework for blind separation of linearly mixed signals Journal of Machine Learning Research. 4: 1339-1364
Bronstein AM, Bronstein MM, Zibulevsky M. (2004) Blind source separation using block-coordinate relative Newton method Signal Processing. 84: 1447-1459
Zibulevsky M, Kisilev P, Zeevi YY, et al. (2002) Blind source separation via multinode sparse representation Advances in Neural Information Processing Systems
Zibulevsky M, Pearlmutter BA. (2001) Blind source separation by sparse decomposition in a signal dictionary. Neural Computation. 13: 863-82
See more...