Moshe Salhov

According to our database, Moshe Salhov authored at least 29 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

2023

TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models.

Guy Zamberg, Moshe Salhov, Ofir Lindenbaum, Amir Averbuch

CoRR, 2023

Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study.

Dan Halbersberg, Roni Yasinnik, Matan Halevi, Moshe Salhov

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

OMHS - The Objects Mosaic Hyperspectral Database.

Jonathan Hauser, Gal Shtendel, Amit Zeligman, Amir Averbuch, Menachem Nathan, Moshe Salhov

Dataset, May, 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

Cross-boosting of WNNM Image Denoising method by Directional Wavelet Packets.

Amir Averbuch, Pekka Neittaanmäki, Valery A. Zheludev, Moshe Salhov, Jonathan Hauser

CoRR, 2022

Imbalanced Classification via a Tabular Translation GAN.

Jonathan Gradstein, Moshe Salhov, Yoav Tulpan, Ofir Lindenbaum, Amir Averbuch

CoRR, 2022

Search and Score-Based Waterfall Auction Optimization.

Dan Halbersberg, Matan Halevi, Moshe Salhov

Proceedings of the Learning and Intelligent Optimization - 16th International Conference, 2022

L0-Sparse Canonical Correlation Analysis.

Ofir Lindenbaum, Moshe Salhov, Amir Averbuch, Yuval Kluger

Proceedings of the Tenth International Conference on Learning Representations, 2022

Revenue Maximization at Waterfall Auctions with Dynamic Programming.

Dan Halbersberg, Matan Halevi, Moshe Salhov

Proceedings of the IEEE International Conference on Big Data, 2022

2021

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

2020

Multi-view diffusion maps.

Ofir Lindenbaum, Arie Yeredor, Moshe Salhov, Amir Averbuch

Inf. Fusion, 2020

Gaussian bandwidth selection for manifold learning and classification.

Ofir Lindenbaum, Moshe Salhov, Arie Yeredor, Amir Averbuch

Data Min. Knowl. Discov., 2020

Deep Gated Canonical Correlation Analysis.

Ofir Lindenbaum, Moshe Salhov, Amir Averbuch, Yuval Kluger

CoRR, 2020

Majority Voting and the Condorcet's Jury Theorem.

Hanan Shteingart, Eran Marom, Igor Itkin, Gil Shabat, Michael Kolomenkin, Moshe Salhov, Liran Katzir

CoRR, 2020

2019

Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate.

Eldad Rubinstein, Moshe Salhov, Meital Nidam-Leshem, Valerie White, Shay Golan, Jack Baniel, Hanna Bernstine, David Groshar, Amir Averbuch

Medical Image Anal., 2019

2017

Kernel Scaling for Manifold Learning and Classification.

Ofir Lindenbaum, Moshe Salhov, Arie Yeredor, Amir Averbuch

CoRR, 2017

2016

Efficient Analysis of High-Dimensional Big Data via Diffusion Geometry Preservation and Matrix Decomposition

Moshe Salhov

PhD thesis, 2016

Learning from patches by efficient spectral decomposition of a structured kernel.

Moshe Salhov, Amit Bermanis, Guy Wolf, Amir Averbuch

Mach. Learn., 2016

Multi-View Kernel Consensus For Data Analysis and Signal Processing.

Moshe Salhov, Ofir Lindenbaum, Avi Silberschatz, Yoel Shkolnisky, Amir Averbuch

CoRR, 2016

Incomplete Pivoted QR-based Dimensionality Reduction.

Amit Bermanis, Aviv Rotbart, Moshe Salhov, Amir Averbuch

CoRR, 2016

2015

Diffusion Representations.

Moshe Salhov, Amit Bermanis, Guy Wolf, Amir Averbuch

CoRR, 2015

MultiView Diffusion Maps.

Ofir Lindenbaum, Arie Yeredor, Moshe Salhov, Amir Averbuch

CoRR, 2015

Learning Coupled Embedding Using MultiView Diffusion Maps.

Ofir Lindenbaum, Arie Yeredor, Moshe Salhov

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2012

Dictionary Construction for Patch-to-Tensor Embedding.

Moshe Salhov, Guy Wolf, Amit Bermanis, Amir Averbuch, Pekka Neittaanmäki

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Patch-Based Data Analysis Using Linear-Projection Diffusion.

Moshe Salhov, Guy Wolf, Amir Averbuch, Pekka Neittaanmäki

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

2010

A subgradient solution to structured robust least squares problems.

Moshe Salhov

IEEE Trans. Signal Process., 2010

2004

Robust peak distortion equalization.

Moshe Salhov, Ami Wiesel, Yonina C. Eldar

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A robust maximum likelihood multiuser detector in the presence of signature uncertainties.

Moshe Salhov, Ami Wiesel, Yonina C. Eldar

Proceedings of the 2004 12th European Signal Processing Conference, 2004