Multi-view diffusion maps O Lindenbaum, A Yeredor, M Salhov, A Averbuch
Information Fusion 55, 127-149, 2020
67 2020 Analysis of human brain structure reveals that the brain “types” typical of males are also typical of females, and vice versa D Joel, A Persico, M Salhov, Z Berman, S Oligschläger, I Meilijson, ...
Frontiers in Human Neuroscience 12, 399, 2018
65 2018 Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme S Shrot, M Salhov, N Dvorski, E Konen, A Averbuch, C Hoffmann
Neuroradiology 61, 757-765, 2019
34 2019 Approximately-isometric diffusion maps M Salhov, A Bermanis, G Wolf, A Averbuch
Applied and Computational Harmonic Analysis 38 (3), 399-419, 2015
20 2015 Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate E Rubinstein, M Salhov, M Nidam-Leshem, V White, S Golan, J Baniel, ...
Medical image analysis 55, 27-40, 2019
18 2019 Gaussian bandwidth selection for manifold learning and classification O Lindenbaum, M Salhov, A Yeredor, A Averbuch
Data mining and knowledge discovery 34, 1676-1712, 2020
16 2020 Patch-to-tensor embedding M Salhov, G Wolf, A Averbuch
Applied and Computational Harmonic Analysis 33 (2), 182-203, 2012
13 2012 Learning coupled embedding using multiview diffusion maps O Lindenbaum, A Yeredor, M Salhov
Latent Variable Analysis and Signal Separation: 12th International …, 2015
12 2015 Multi-view kernel consensus for data analysis M Salhov, O Lindenbaum, Y Aizenbud, A Silberschatz, Y Shkolnisky, ...
Applied and Computational Harmonic Analysis 49 (1), 208-228, 2020
9 2020 Kernel scaling for manifold learning and classification O Lindenbaum, M Salhov, A Yeredor, A Averbuch
arXiv preprint arXiv:1707.01093, 2017
8 2017 Multi-view kernel consensus for data analysis and signal processing M Salhov, O Lindenbaum, A Silberschatz, Y Shkolnisky, A Averbuch
arXiv preprint arXiv:1606.08819, 2016
7 2016 Measure-based diffusion grid construction and high-dimensional data discretization A Bermanis, M Salhov, G Wolf, A Averbuch
Applied and Computational Harmonic Analysis 40 (2), 207-228, 2016
7 2016 A robust maximum likelihood multiuser detector in the presence of signature uncertainties M Salhov, A Wiesel, YC Eldar
2004 12th European Signal Processing Conference, 185-188, 2004
7 2004 A carrier-grade wireless lan network implementation [application notes] A Adler, M Salhov
IEEE Microwave Magazine 9 (4), 108-119, 2008
6 2008 Image inpainting using directional wavelet packets originating from polynomial splines A Averbuch, P Neittaanmäki, V Zheludev, M Salhov, J Hauser
Signal Processing: Image Communication 97, 116334, 2021
4 2021 O Lindenbaum, M Salhov, A Averbuch, Y Kluger
arXiv preprint arXiv:2010.05620, 2020
4 2020 Diffusion representations M Salhov, A Bermanis, G Wolf, A Averbuch
Applied and Computational Harmonic Analysis 45 (2), 324-340, 2018
4 2018 A subgradient solution to structured robust least squares problems M Salhov
IEEE Transactions on Signal Processing 58 (9), 4761-4770, 2010
4 2010 Incomplete pivoted qr-based dimensionality reduction A Bermanis, A Rotbart, M Salhov, A Averbuch
arXiv preprint arXiv:1607.03456, 2016
3 2016 Majority Voting and the Condorcet's Jury Theorem H Shteingart, E Marom, I Itkin, G Shabat, M Kolomenkin, M Salhov, ...
arXiv preprint arXiv:2002.03153, 2020
2 2020 