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Shira Faigenbaum

Shira Faigenbaum-Golovin

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Journal Articles

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2023
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Shira Faigenbaum-Golovin, David Levin:
Manifold reconstruction and denoising from scattered data in high dimension. J. Comput. Appl. Math. 421: 114818 (2023)
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Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober:
Neural Network Approximation of Refinable Functions. IEEE Trans. Inf. Theory 69(1): 482-495 (2023)

Conference and Workshop Papers

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2022
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Shira Faigenbaum-Golovin, Or Shimshi:
Image quality assessment: Learning to rank image distortion level. IQSP 2022: 1-5
2019
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Shira Faigenbaum-Golovin, David Levin, Eli Piasetzky, Israel Finkelstein:
Writer Characterization and Identification of Short Modern and Historical Documents: Reconsidering Paleographic Tables. DocEng 2019: 23:1-23:4
2017
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Arie Shaus, Shira Faigenbaum-Golovin, Barak Sober, Eli Turkel:
Potential Contrast - A New Image Quality Measure. IQSP 2017: 52-58
2013
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Shira Faigenbaum, Arie Shaus, Barak Sober, Eli Turkel, Eli Piasetzky:
Evaluating glyph binarizations based on their properties. ACM Symposium on Document Engineering 2013: 127-130

Informal and Other Publications

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2022
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  - journals/corr/abs-2208-03317
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Shira Faigenbaum-Golovin, Or Shimshi:
Image Quality Assessment: Learning to Rank Image Distortion Level. CoRR abs/2208.03317 (2022)
2021
[i4]
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  - journals/corr/abs-2102-01750
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Shira Faigenbaum-Golovin, David Levin:
Manifold Repairing, Reconstruction and Denoising from Scattered Data in High-Dimension. CoRR abs/2102.01750 (2021)
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  - journals/corr/abs-2107-13191
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Ingrid Daubechies, Ronald A. DeVore, Nadav Dym, Shira Faigenbaum-Golovin, Shahar Z. Kovalsky, Kung-Ching Lin, Josiah Park, Guergana Petrova, Barak Sober:
Neural Network Approximation of Refinable Functions. CoRR abs/2107.13191 (2021)
2020
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  - journals/corr/abs-2012-12546
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Shira Faigenbaum-Golovin, David Levin:
Manifold Reconstruction and Denoising from Scattered Data in High Dimension via a Generalization of L₁-Median. CoRR abs/2012.12546 (2020)
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Shira Faigenbaum-Golovin, David Levin:
Approximation of Functions on Manifolds in High Dimension from Noisy Scattered Data. CoRR abs/2012.13804 (2020)

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