Journal papers:
Rubinstein, R. and Elad, M.
Dictionary Learning for Analysis-Synthesis Thresholding.
IEEE Transactions on Signal Processing, Vol. 62, No. 22, November 2014..
Rubinstein, R., Peleg, T. and Elad, M.
Analysis K-SVD: A Dictionary-Learning Algorithm for the Analysis Sparse Model.
IEEE Transactions on Signal Processing, Vol. 61, No. 3, February 2013..
Rubinstein, R., Bruckstein, A.M. and Elad, M.
Dictionaries for Sparse Representation Modeling.
Proceedings of the IEEE, Vol. 98, No. 6, June 2010.
Rubinstein, R., Zibulevsky, M. and Elad, M.
Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation.
IEEE Transactions on Signal Processing, Vol. 58, No. 3, March 2010..
Elad, M., Milanfar, P. and Rubinstein, R.
Analysis versus Synthesis in Signal Priors.
IOP Inverse Problems, Vol. 23, No. 3, June 2007.
Conferences:
Horev, I., Bryt, O. and Rubinstein, R.
Adaptive Image Compression using Sparse Dictionaries.
IWSSIP 2012, Vienna, Austria, April 2012.
Rubinstein, R., Faktor, T. and Elad, M.
K-SVD Dictionary Learning for the Analysis Sparse Model.
ICASSP 2012, Kyoto, Japan, March 2012.
Segall, A. Zhao, J. and Rubinstein, R.
Video Coding for the Mobile Capture of Higher Dynamic Range Image Sequences.
PCS 2009, Chicago, Illinois, May 2009.
Elad, M., Milanfar, P. and Rubinstein, R.
Analysis versus Synthesis in Signal Priors.
EUSIPCO 2006, Florence, Italy, September 2006.
Technical Reports:
Rubinstein, R., Zibulevsky, M. and Elad, M.
Learning Sparse Dictionaries for Sparse Signal Approximation.
Technical Report - CS Technion, June 2009.
Bartuschat, D., Borsdorf, A., Köstler, H., Rubinstein, R., and Stürmer, M.
A Parallel K-SVD Implementation for CT Image Denoising.
Technical Report - University of Erlangen-Nürnberg, CS 10, 2009.
Rubinstein, R., Zibulevsky, M. and Elad, M.
Efficient Implementation of the K-SVD Algorithm using Batch Orthogonal Matching Pursuit.
Technical Report - CS Technion, April 2008.
Talks:
Sparsity-Based Signal Models and the Sparse K-SVD Algorithm.
Ph.D. seminar, Computer Science - Technion, October 2010. PPTX -
PDF
Note: PowerPoint version highly recommended. If the math does not display correctly in the PPT version, these fonts may be missing.
K-SVD for Dummies: An Introduction to Sparse Representation and the K-SVD Algorithm (based on slides by Prof. Michael Elad).
University of Erlangen, April 2008. PPT -
PDF
Analysis versus Synthesis in Signal Priors (short version given at
EUSIPCO '06, Sept. 2006).
PPT -
PDF
Thesis:
Analysis and Synthesis Sparse Modeling Methods in Image Processing. Ph.D. Dissertation, Computer Science - Technion.
September 2011.
Projects:
Fusion of Differently Exposed Image Sequences. Supervisor: Alexander Brook.
October 2004. Project webpage