A robust maximum likelihood multiuser detector in the presence of signature uncertainties. - Moshe Salhov; Ami Wiesel; Yonina C. Eldar (EUSIPCO, 2004)

Robust peak distortion equalization. - Moshe Salhov; Ami Wiesel; Yonina C. Eldar (ICASSP (4), 2004)

A subgradient solution to structured robust least squares problems. - Moshe Salhov (IEEE Trans. Signal Process., 2010)

Patch-Based Data Analysis Using Linear-Projection Diffusion. - Moshe Salhov; Guy Wolf; Amir Averbuch; Pekka Neittaanmäki (IDA, 2012)

Dictionary Construction for Patch-to-Tensor Embedding. - Moshe Salhov; Guy Wolf; Amit Bermanis; Amir Averbuch; Pekka Neittaanmäki (IDA, 2012)

Learning Coupled Embedding Using MultiView Diffusion Maps. - Ofir Lindenbaum; Arie Yeredor; Moshe Salhov (LVA/ICA, 2015)

MultiView Diffusion Maps. - Ofir Lindenbaum; Arie Yeredor; Moshe Salhov; Amir Averbuch (CoRR, 2015)

Diffusion Representations. - Moshe Salhov; Amit Bermanis; Guy Wolf; Amir Averbuch (CoRR, 2015)

Incomplete Pivoted QR-based Dimensionality Reduction. - Amit Bermanis; Aviv Rotbart; Moshe Salhov; Amir Averbuch (CoRR, 2016)

Multi-View Kernel Consensus For Data Analysis and Signal Processing. - Moshe Salhov; Ofir Lindenbaum; Avi Silberschatz; Yoel Shkolnisky; Amir Averbuch (CoRR, 2016)

Learning from patches by efficient spectral decomposition of a structured kernel. - Moshe Salhov; Amit Bermanis; Guy Wolf; Amir Averbuch (Mach. Learn., 2016)

Efficient Analysis of High-Dimensional Big Data via Diffusion Geometry Preservation and Matrix Decomposition - Moshe Salhov (2016)

Kernel Scaling for Manifold Learning and Classification. - Ofir Lindenbaum; Moshe Salhov; Arie Yeredor; Amir Averbuch (CoRR, 2017)

Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate. - Eldad Rubinstein; Moshe Salhov; Meital Nidam-Leshem; Valerie White; Shay Golan 002; Jack Baniel; Hanna Bernstine; David Groshar; Amir Averbuch (Medical Image Anal., 2019)

Majority Voting and the Condorcet's Jury Theorem. - Hanan Shteingart; Eran Marom; Igor Itkin; Gil Shabat; Michael Kolomenkin; Moshe Salhov; Liran Katzir 001 (CoRR, 2020)

Deep Gated Canonical Correlation Analysis. - Ofir Lindenbaum; Moshe Salhov; Amir Averbuch; Yuval Kluger (CoRR, 2020)

Gaussian bandwidth selection for manifold learning and classification. - Ofir Lindenbaum; Moshe Salhov; Arie Yeredor; Amir Averbuch (Data Min. Knowl. Discov., 2020)

Multi-view diffusion maps. - Ofir Lindenbaum; Arie Yeredor; Moshe Salhov; Amir Averbuch (Inf. Fusion, 2020)

Image inpainting using directional wavelet packets originating from polynomial splines. - Amir Averbuch; Pekka Neittaanmäki; Valery A. Zheludev; Moshe Salhov; Jonathan Hauser (Signal Process. Image Commun., 2021)

Revenue Maximization at Waterfall Auctions with Dynamic Programming. - Dan Halbersberg; Matan Halevi; Moshe Salhov (IEEE Big Data, 2022)

L0-Sparse Canonical Correlation Analysis. - Ofir Lindenbaum; Moshe Salhov; Amir Averbuch; Yuval Kluger (ICLR, 2022)

Search and Score-Based Waterfall Auction Optimization. - Dan Halbersberg; Matan Halevi; Moshe Salhov (LION, 2022)

Imbalanced Classification via a Tabular Translation GAN. - Jonathan Gradstein; Moshe Salhov; Yoav Tulpan; Ofir Lindenbaum; Amir Averbuch (CoRR, 2022)

Cross-boosting of WNNM Image Denoising method by Directional Wavelet Packets. - Amir Averbuch; Pekka Neittaanmäki; Valery A. Zheludev; Moshe Salhov; Jonathan Hauser (CoRR, 2022)

An hybrid denoising algorithm based on directional wavelet packets. - Amir Averbuch; Pekka Neittaanmäki; Valery A. Zheludev; Moshe Salhov; Jonathan Hauser (Multidimens. Syst. Signal Process., 2022)

OMHS - The Objects Mosaic Hyperspectral Database. - Jonathan Hauser; Gal Shtendel; Amit Zeligman; Amir Averbuch; Menachem Nathan; Moshe Salhov (IEEE DataPort, 2022)

Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study. - Dan Halbersberg; Roni Yasinnik; Matan Halevi; Moshe Salhov (ICMLA, 2023)

TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models. - Guy Zamberg; Moshe Salhov; Ofir Lindenbaum; Amir Averbuch (CoRR, 2023)

SEL-CIE: Knowledge-Guided Self-Supervised Learning Framework for CIE-XYZ Reconstruction from Non-Linear sRGB Images. - Shir Barzel; Moshe Salhov; Ofir Lindenbaum; Amir Averbuch (CoRR, 2024)