Moshe Salhov
Title
Cited by
Cited by
Year
Multi-view diffusion maps
O Lindenbaum, A Yeredor, M Salhov, A Averbuch
Information Fusion 55, 127-149, 2020
492020
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
462018
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 (7), 757-765, 2019
182019
Approximately-isometric diffusion maps
M Salhov, A Bermanis, G Wolf, A Averbuch
Applied and Computational Harmonic Analysis 38 (3), 399-419, 2015
162015
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
132019
Patch-to-tensor embedding
M Salhov, G Wolf, A Averbuch
Applied and Computational Harmonic Analysis 33 (2), 182-203, 2012
132012
Learning coupled embedding using multiview diffusion maps
O Lindenbaum, A Yeredor, M Salhov
International Conference on Latent Variable Analysis and Signal Separation …, 2015
112015
Gaussian bandwidth selection for manifold learning and classification
O Lindenbaum, M Salhov, A Yeredor, A Averbuch
Data mining and knowledge discovery 34 (6), 1676-1712, 2020
92020
Kernel scaling for manifold learning and classification
O Lindenbaum, M Salhov, A Yeredor, A Averbuch
arXiv preprint arXiv:1707.01093, 2017
92017
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
72016
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
72016
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
62020
A carrier-grade wireless lan network implementation [application notes]
A Adler, M Salhov
IEEE Microwave Magazine 9 (4), 108-119, 2008
62008
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
62004
A subgradient solution to structured robust least squares problems
M Salhov
IEEE Transactions on Signal Processing 58 (9), 4761-4770, 2010
42010
Incomplete pivoted qr-based dimensionality reduction
A Bermanis, A Rotbart, M Salhov, A Averbuch
arXiv preprint arXiv:1607.03456, 2016
32016
Diffusion representations
M Salhov, A Bermanis, G Wolf, A Averbuch
Applied and Computational Harmonic Analysis 45 (2), 324-340, 2018
22018
Geometric component analysis and its applications to data analysis
A Bermanis, M Salhov, A Averbuch
Applied and Computational Harmonic Analysis 54, 20-43, 2021
12021
-based Sparse Canonical Correlation Analysis
O Lindenbaum, M Salhov, A Averbuch, Y Kluger
arXiv preprint arXiv:2010.05620, 2020
12020
Deep Gated Canonical Correlation Analysis
O Lindenbaum, M Salhov, A Averbuch, Y Kluger
arXiv preprint arXiv:2010.05620, 2020
12020
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Articles 1–20