Moshe Salhov (Moshesa@cs.tau.ac.il)

Ph.D. Candidate
School of Computer Science
Tel-Aviv University
.

Advisor

Major interests

  1. Big data analysis and applications
  2. Efficient methods for machine learning
  3. Array signal Processing for Communication
  4. Computer vision and medical imaging

List of Journal Publications

  1. A. Bermanis, M. Salhov, G. Wolf and A. Averbuch, Measure-based diffusion grid construction and high-dimensional data discretization, Applied and Computational Harmonic Analysis, Accepted 2015.
  2. M. Salhov, A. Bermanis, G. Wolf, and A. Averbuch, Learning from Patches by Efficient Spectral Decomposition of a Structured Kernel, Submitted to Machine Learning 2014. , Matlab Code.
  3. M. Salhov, A. Bermanis, G. Wolf, and A. Averbuch. Approximately-Isometric Diffusion Maps. Applied and Computational Harmonic Analysis, Accepted 2014.
  4. M. Salhov, G. Wolf, and A. Averbuch. Patch-to-tensor embedding. Applied and Computational Harmonic Analysis, 33(2):182-203, 2012.
  5. M. Salhov. A Subgradient Solution to Structured Robust Least Squares Problems Signal Processing, IEEE Transactions on , 58(9):4761-4770, 2010.
  6. A. Adler, M. Salhov. A carrier-grade wireless lan network implementation Microwave Magazine, IEEE , 9(4):108-119, 2008.

List of Conference Publications

  1. M. Salhov, G. Wolf, A. Bermanis, and A. Averbuch. Constructive sampling for patch-based embedding. In SampTA 2013: 10th international conference on Sampling Theory and Applications, Bremen, Germany, 2013.
  2. M. Salhov, G. Wolf, A. Averbuch, and P. Neittaanmaki. Patch-based data analysis using linear-projection diffusion. In J. Hollmén, F. Klawonn, and A. Tucker, editors, Advances in Intelligent Data Analysis XI, volume 7619 of Lecture Notes in Computer Science, pages 334-345. Springer Berlin Heidelberg, 2012.
  3. M. Salhov, A. Wiesel and Y. C. Eldar, Robust Peak Distortion Equalization. Proc. Int. Conf. Acoust., Speech, Signal Processing (ICASSP-2004), Vol 4, pp 1009-1012, Montreal, May 2004.
  4. M. Salhov, A. Wiesel and Y. C. Eldar, Robust Maximum Likelihood Multiuser Detector In the Presence of Signature Uncertainties. Eur. Sig. Proc. Con. (EUSIPCO-2004), Sep. 2004.

Office address:
Schrieber Building (room 009)
School of Computer Science
Tel Aviv University
Tel-Aviv 69978
Israel
Phone: +972-3-640-7952