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ORCIDMoshe Salhov
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2020 – today
- 2024
[i12]Shir Barzel, Moshe Salhov, Ofir Lindenbaum, Amir Averbuch:
SEL-CIE: Knowledge-Guided Self-Supervised Learning Framework for CIE-XYZ Reconstruction from Non-Linear sRGB Images. CoRR abs/2405.12265 (2024)- 2023
- [c9]Dan Halbersberg, Roni Yasinnik, Matan Halevi, Moshe Salhov:
Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study. ICMLA 2023: 324-331 - [i11]Guy Zamberg, Moshe Salhov, Ofir Lindenbaum, Amir Averbuch:
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models. CoRR abs/2307.12336 (2023) - 2022
- [j7]Amir Averbuch, Pekka Neittaanmäki, Valery A. Zheludev, Moshe Salhov, Jonathan Hauser:
An hybrid denoising algorithm based on directional wavelet packets. Multidimens. Syst. Signal Process. 33(4): 1151-1183 (2022) - [c8]Dan Halbersberg, Matan Halevi, Moshe Salhov:
Revenue Maximization at Waterfall Auctions with Dynamic Programming. IEEE Big Data 2022: 1622-1631 - [c7]Ofir Lindenbaum, Moshe Salhov, Amir Averbuch, Yuval Kluger:
L0-Sparse Canonical Correlation Analysis. ICLR 2022 - [c6]Dan Halbersberg, Matan Halevi, Moshe Salhov:
Search and Score-Based Waterfall Auction Optimization. LION 2022: 361-378 - [d1]Jonathan Hauser
, Gal Shtendel, Amit Zeligman, Amir Averbuch, Menachem Nathan, Moshe Salhov:
OMHS - The Objects Mosaic Hyperspectral Database. IEEE DataPort, 2022
- [i10]Dan Halbersberg, Matan Halevi, Moshe Salhov:
Search and Score-Based Waterfall Auction Optimization. CoRR abs/2201.06409 (2022) - [i9]Jonathan Gradstein, Moshe Salhov, Yoav Tulpan, Ofir Lindenbaum, Amir Averbuch:
Imbalanced Classification via a Tabular Translation GAN. CoRR abs/2204.08683 (2022) - [i8]Amir Averbuch, Pekka Neittaanmäki, Valery A. Zheludev, Moshe Salhov, Jonathan Hauser:
Cross-boosting of WNNM Image Denoising method by Directional Wavelet Packets. CoRR abs/2206.04431 (2022) - 2021
- [j6]Amir Averbuch, Pekka Neittaanmäki, Valery A. Zheludev, Moshe Salhov, Jonathan Hauser:
Image inpainting using directional wavelet packets originating from polynomial splines. Signal Process. Image Commun. 97: 116334 (2021) - 2020
- [j5]Ofir Lindenbaum, Moshe Salhov, Arie Yeredor, Amir Averbuch:
Gaussian bandwidth selection for manifold learning and classification. Data Min. Knowl. Discov. 34(6): 1676-1712 (2020) - [j4]Ofir Lindenbaum, Arie Yeredor, Moshe Salhov, Amir Averbuch:
Multi-view diffusion maps. Inf. Fusion 55: 127-149 (2020) - [i7]Hanan Shteingart, Eran Marom, Igor Itkin, Gil Shabat, Michael Kolomenkin, Moshe Salhov, Liran Katzir:
Majority Voting and the Condorcet's Jury Theorem. CoRR abs/2002.03153 (2020) - [i6]Ofir Lindenbaum, Moshe Salhov, Amir Averbuch, Yuval Kluger:
Deep Gated Canonical Correlation Analysis. CoRR abs/2010.05620 (2020)
2010 – 2019
- 2019
- [j3]Eldad Rubinstein, Moshe Salhov, Meital Nidam-Leshem, Valerie White, Shay Golan, Jack Baniel, Hanna Bernstine, David Groshar, Amir Averbuch:
Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate. Medical Image Anal. 55: 27-40 (2019) - 2017
- [i5]Ofir Lindenbaum, Moshe Salhov, Arie Yeredor, Amir Averbuch:
Kernel Scaling for Manifold Learning and Classification. CoRR abs/1707.01093 (2017) - 2016
- [b1]Moshe Salhov:
Efficient Analysis of High-Dimensional Big Data via Diffusion Geometry Preservation and Matrix Decomposition. Tel Aviv University, Israel, 2016 - [j2]Moshe Salhov, Amit Bermanis, Guy Wolf, Amir Averbuch:
Learning from patches by efficient spectral decomposition of a structured kernel. Mach. Learn. 103(1): 81-102 (2016) - [i4]Moshe Salhov, Ofir Lindenbaum, Avi Silberschatz, Yoel Shkolnisky, Amir Averbuch:
Multi-View Kernel Consensus For Data Analysis and Signal Processing. CoRR abs/1606.08819 (2016) - [i3]Amit Bermanis, Aviv Rotbart, Moshe Salhov, Amir Averbuch:
Incomplete Pivoted QR-based Dimensionality Reduction. CoRR abs/1607.03456 (2016) - 2015
- [c5]Ofir Lindenbaum, Arie Yeredor, Moshe Salhov:
Learning Coupled Embedding Using MultiView Diffusion Maps. LVA/ICA 2015: 127-134 - [i2]Ofir Lindenbaum, Arie Yeredor, Moshe Salhov, Amir Averbuch:
MultiView Diffusion Maps. CoRR abs/1508.05550 (2015) - [i1]Moshe Salhov, Amit Bermanis, Guy Wolf, Amir Averbuch:
Diffusion Representations. CoRR abs/1511.06208 (2015) - 2012
- [c4]Moshe Salhov, Guy Wolf, Amir Averbuch, Pekka Neittaanmäki:
Patch-Based Data Analysis Using Linear-Projection Diffusion. IDA 2012: 334-345 - [c3]Moshe Salhov, Guy Wolf, Amit Bermanis, Amir Averbuch, Pekka Neittaanmäki:
Dictionary Construction for Patch-to-Tensor Embedding. IDA 2012: 346-356 - 2010
- [j1]Moshe Salhov:
A subgradient solution to structured robust least squares problems. IEEE Trans. Signal Process. 58(9): 4761-4770 (2010)
2000 – 2009
- 2004
- [c2]Moshe Salhov, Ami Wiesel, Yonina C. Eldar:
A robust maximum likelihood multiuser detector in the presence of signature uncertainties. EUSIPCO 2004: 185-188 - [c1]Moshe Salhov, Ami Wiesel, Yonina C. Eldar:
Robust peak distortion equalization. ICASSP (4) 2004: 1009-1012
Coauthor Index
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