Barak Sober

According to our database, Barak Sober authored at least 18 papers between 2013 and 2023.

Collaborative distances:

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

2023

Neural Network Approximation of Refinable Functions.

Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober

IEEE Trans. Inf. Theory, 2023

Image Separation With Side Information: A Connected Auto-Encoders Based Approach.

Wei Pu, Barak Sober, Nathan Daly, Chao Zhou, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues

IEEE Trans. Image Process., 2023

A Statistical Exploration of the Hypothesized Partition of the Books of Genesis and Exodus into Priestly and non-Priestly Components.

Gideon Yoffe, Axel Bühler, Thomas Römer, Nachum Dershowitz, Eli Piasetzky, Israel Finkelstein, Barak Sober

Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

A Statistical Exploration of Text Partition Into Constituents: The Case of the Priestly Source in the Books of Genesis and Exodus.

Gideon Yoffe, Axel Bühler, Nachum Dershowitz, Thomas Römer, Eli Piasetzky, Israel Finkelstein, Barak Sober

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Mixed X-Ray Image Separation for Artworks With Concealed Designs.

Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Pier Luigi Dragotti, Miguel R. D. Rodrigues

IEEE Trans. Image Process., 2022

Manifold Free Riemannian Optimization.

Boris Shustin, Haim Avron, Barak Sober

CoRR, 2022

2021

Approximation of functions over manifolds: A Moving Least-Squares approach.

Barak Sober, Yariv Aizenbud, David Levin

J. Comput. Appl. Math., 2021

Non-Parametric Estimation of Manifolds from Noisy Data.

Yariv Aizenbud, Barak Sober

CoRR, 2021

A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs.

Wei Pu, Junjie Huang, Barak Sober, Nathan Daly, Catherine Higgitt, Pier Luigi Dragotti, Ingrid Daubechies, Miguel R. D. Rodrigues

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Expression of Fractals Through Neural Network Functions.

Nadav Dym, Barak Sober, Ingrid Daubechies

IEEE J. Sel. Areas Inf. Theory, 2020

Image Separation with Side Information: A Connected Auto-Encoders Based Approach.

Wei Pu, Barak Sober, Nathan Daly, Zahra Sabetsarvestani, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues

CoRR, 2020

Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares.

Barak Sober, Ingrid Daubechies, Robert Ravier

CoRR, 2020

A Connected Auto-Encoders Based Approach for Image Separation with Side Information: With Applications to Art Investigation.

Wei Pu, Barak Sober, Nathan Daly, Catherine Higgitt, Ingrid Daubechies, Miguel R. D. Rodrigues

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2017

Computer aided restoration of handwritten character strokes.

Barak Sober, David Levin

Comput. Aided Des., 2017

Potential Contrast - A New Image Quality Measure.

Arie Shaus, Shira Faigenbaum-Golovin, Barak Sober, Eli Turkel

Proceedings of the Image Quality and System Performance XIV, Electronic Imaging 2017, 2017

2016

Manifolds' Projective Approximation Using The Moving Least-Squares (MMLS).

Barak Sober, David Levin

CoRR, 2016

Beyond the Ground Truth: Alternative Quality Measures of Document Binarizations.

Arie Shaus, Barak Sober, Eli Turkel, Eli Piasetzky

Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

2013

Evaluating glyph binarizations based on their properties.

Shira Faigenbaum, Arie Shaus, Barak Sober, Eli Turkel, Eli Piasetzky

Proceedings of the ACM Symposium on Document Engineering 2013, 2013