Yoel Shkolnisky

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 24

Top Topics

Graph Laplacian

Top Venues

SIAM J. Imaging Sci.

IEEE Trans. Computational Imaging

Publications

Eitan Rosen, Xiuyuan Cheng, Yoel Shkolnisky
G-invariant diffusion maps. CoRR (2023)
Adi Shasha Geva, Yoel Shkolnisky
A Common Lines Approach for Ab Initio Modeling of Molecules with Tetrahedral and Octahedral Symmetry. SIAM J. Imaging Sci. 16 (4) (2023)
Eitan Rosen, Xiuyuan Cheng, Yoel Shkolnisky
The G-invariant graph Laplacian. CoRR (2023)
Amitay Eldar, Ido Amos, Yoel Shkolnisky
ASOCEM: Automatic Segmentation Of Contaminations in cryo-EM. CoRR (2022)
Roy Mitz, Yoel Shkolnisky
A Perturbation-Based Kernel Approximation Framework. J. Mach. Learn. Res. 23 (2022)
Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
Rank-one multi-reference factor analysis. Stat. Comput. 31 (1) (2021)
Roy Mitz, Yoel Shkolnisky
A perturbation based out-of-sample extension framework. CoRR (2020)
Eitan Rosen, Yoel Shkolnisky
-Symmetric Molecules in Cryo-Electron Microscopy. SIAM J. Imaging Sci. 13 (4) (2020)
Roy Mitz, Nir Sharon, Yoel Shkolnisky
Symmetric Rank-One Updates from Partial Spectrum with an Application to Out-of-Sample Extension. SIAM J. Matrix Anal. Appl. 40 (3) (2019)
Boris Landa, Yoel Shkolnisky
Multi-reference factor analysis: low-rank covariance estimation under unknown translations. CoRR (2019)
Roy Mitz, Yoel Shkolnisky
ROIPCA: An Online PCA algorithm based on rank-one updates. CoRR (2019)
Yariv Aizenbud, Boris Landa, Yoel Shkolnisky
Rank-one Multi-Reference Factor Analysis. CoRR (2019)
Gabi Pragier, Yoel Shkolnisky
A common lines approach for ab-initio modeling of cyclically-symmetric molecules. CoRR (2019)
Boris Landa, Yoel Shkolnisky
The Steerable Graph Laplacian and its Application to Filtering Image Datasets. SIAM J. Imaging Sci. 11 (4) (2018)
Boris Landa, Yoel Shkolnisky
The steerable graph Laplacian and its application to filtering image data-sets. CoRR (2018)
Boris Landa, Yoel Shkolnisky
Steerable Principal Components for Space-Frequency Localized Images. SIAM J. Imaging Sci. 10 (2) (2017)
Amir Averbuch, Gil Shabat, Yoel Shkolnisky
Direct Inversion of the Three-Dimensional Pseudo-polar Fourier Transform. SIAM J. Sci. Comput. 38 (2) (2016)
Yariv Aizenbud, Yoel Shkolnisky
A max-cut approach to heterogeneity in cryo-electron microscopy. CoRR (2016)
Boris Landa, Yoel Shkolnisky
Steerable Principal Components for Space-Frequency Localized Images. CoRR (2016)
Victor May, Yosi Keller, Nir Sharon, Yoel Shkolnisky
An Algorithm for Improving Non-Local Means Operators via Low-Rank Approximation. IEEE Trans. Image Process. 25 (3) (2016)
Gabi Pragier, Ido Greenberg, Xiuyuan Cheng, Yoel Shkolnisky
A Graph Partitioning Approach to Simultaneous Angular Reconstitution. IEEE Trans. Computational Imaging 2 (3) (2016)
Zhizhen Zhao, Yoel Shkolnisky, Amit Singer
Fast Steerable Principal Component Analysis. IEEE Trans. Computational Imaging 2 (1) (2016)
Leonid Gugel, Yoel Shkolnisky, Shai Dekel
Machine olfaction using time scattering of sensor multiresolution graphs. CoRR (2016)
Moshe Salhov, Ofir Lindenbaum, Avi Silberschatz, Yoel Shkolnisky, Amir Averbuch
Multi-View Kernel Consensus For Data Analysis and Signal Processing. CoRR (2016)
Amir Averbuch, Gil Shabat, Yoel Shkolnisky
Direct Inversion of the 3D Pseudo-polar Fourier Transform. CoRR (2015)
Zhizhen Zhao, Yoel Shkolnisky, Amit Singer
Fast Steerable Principal Component Analysis. CoRR (2014)
Victor May, Yosi Keller, Nir Sharon, Yoel Shkolnisky
An algorithm for improving Non-Local Means operators via low-rank approximation. CoRR (2014)
Simon Adar, Yoel Shkolnisky, Gila Notesco, Eyal Ben-Dor
Using Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor. Remote. Sens. 5 (11) (2013)
Vahid Abrishami, Airen Zaldívar-Peraza, José Miguel de la Rosa-Trevín, Javier Vargas, Joaquín Otón, Roberto Marabini, Yoel Shkolnisky, José María Carazo, Carlos Oscar Sánchez Sorzano
A pattern matching approach to the automatic selection of particles from low-contrast electron micrographs. Bioinform. 29 (19) (2013)
Ronen Talmon, Yoel Shkolnisky, Ronald R. Coifman
Nonlinear Modeling and Processing Using Empirical Intrinsic Geometry with Application to Biomedical Imaging. GSI (2013)
Amir Averbuch, Ilya Sedelnikov, Yoel Shkolnisky
Corrections to "CT Reconstruction From Parallel and Fan-Beam Projections by a 2-D Discrete Radon Transform". IEEE Trans. Image Process. 21 (6) (2012)
Simon Adar, Yoel Shkolnisky, Eyal Ben-Dor
New approach for spectral change detection assessment using multistrip airborne hyperspectral data. IGARSS (2012)
Yoel Shkolnisky, Amit Singer
Viewing Direction Estimation in Cryo-EM Using Synchronization. SIAM J. Imaging Sci. 5 (3) (2012)
Amir Averbuch, Ilya Sedelnikov, Yoel Shkolnisky
CT Reconstruction From Parallel and Fan-Beam Projections by a 2-D Discrete Radon Transform. IEEE Trans. Image Process. 21 (2) (2012)
Amit Singer, Zhizhen Zhao, Yoel Shkolnisky, Ronny Hadani
Viewing Angle Classification of Cryo-Electron Microscopy Images Using Eigenvectors. SIAM J. Imaging Sci. 4 (2) (2011)
Amit Singer, Yoel Shkolnisky
Three-Dimensional Structure Determination from Common Lines in Cryo-EM by Eigenvectors and Semidefinite Programming. SIAM J. Imaging Sci. 4 (2) (2011)
Amir Averbuch, Guy Lifschitz, Yoel Shkolnisky
Accelerating X-Ray Data Collection Using Pyramid Beam Ray Casting Geometries. IEEE Trans. Image Process. 20 (2) (2011)
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnisky, Mark Tygert
An Algorithm for the Principal Component Analysis of Large Data Sets. SIAM J. Sci. Comput. 33 (5) (2011)
Cédric Vonesch, Lanhui Wang, Yoel Shkolnisky, Amit Singer
Fast wavelet-based single-particle reconstruction in Cryo-EM. ISBI (2011)
Nathan Halko, Per-Gunnar Martinsson, Yoel Shkolnisky, Mark Tygert
An algorithm for the principal component analysis of large data sets CoRR (2010)
Amit Singer, Yoel Shkolnisky, Boaz Nadler
Diffusion Interpretation of Nonlocal Neighborhood Filters for Signal Denoising. SIAM J. Imaging Sci. 2 (1) (2009)
Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky
A Framework for Discrete Integral Transformations I-The Pseudopolar Fourier Transform. SIAM J. Sci. Comput. 30 (2) (2008)
Amir Averbuch, Ronald R. Coifman, David L. Donoho, Moshe Israeli, Yoel Shkolnisky, Ilya Sedelnikov
A Framework for Discrete Integral Transformations II-The 2D Discrete Radon Transform. SIAM J. Sci. Comput. 30 (2) (2008)
Ronald R. Coifman, Yoel Shkolnisky, Fred J. Sigworth, Amit Singer
Graph Laplacian Tomography From Unknown Random Projections. IEEE Trans. Image Process. 17 (10) (2008)
Yosi Keller, Yoel Shkolnisky
A signal processing approach to symmetry detection. IEEE Trans. Image Process. 15 (8) (2006)
Yosi Keller, Yoel Shkolnisky, Amir Averbuch
Volume Registration Using the 3-D Pseudopolar Fourier Transform. IEEE Trans. Signal Process. 54 (11) (2006)
Yosi Keller, Amir Averbuch, Yoel Shkolnisky
Algebraically Accurate Volume Registration Using Euler's Theorem and the 3-D Pseudo-Polar FFT. CVPR (2) (2005)
Yosi Keller, Yoel Shkolnisky, Amir Averbuch
The Angular Difference Function and Its Application to Image Registration. IEEE Trans. Pattern Anal. Mach. Intell. 27 (6) (2005)
Yosi Keller, Yoel Shkolnisky, Amir Averbuch
Accurate multi-dimensional alignment. ICIP (3) (2005)
Yosi Keller, Yoel Shkolnisky, Amir Averbuch
A non Cartesian FFT approach to image alignment. ICIP (3) (2005)
Yosi Keller, Yoel Shkolnisky
An Algebraic Approach to Symmetry Detection. ICPR (3) (2004)