Gilad Lerman

According to our database1, Gilad Lerman authored at least 27 papers between 1998 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2019
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery.
J. Mach. Learn. Res., 2019

2018
Distributed Robust Subspace Recovery.
SIAM J. Scientific Computing, 2018

Exact Camera Location Recovery by Least Unsquared Deviations.
SIAM J. Imaging Sciences, 2018

An Overview of Robust Subspace Recovery.
Proceedings of the IEEE, 2018

Estimation of Camera Locations in Highly Corrupted Scenarios: All About That Base, No Shape Trouble.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Spectral Clustering Based on Local PCA.
J. Mach. Learn. Res., 2017

2016
Enhancing feature tracking with gyro regularization.
Image Vision Comput., 2016

2015
Robust Computation of Linear Models by Convex Relaxation.
Foundations of Computational Mathematics, 2015

Multi-Manifold Modeling in Non-Euclidean spaces.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
A novel M-estimator for robust PCA.
J. Mach. Learn. Res., 2014

A New Approach to Two-View Motion Segmentation Using Global Dimension Minimization.
International Journal of Computer Vision, 2014

Better Feature Tracking through Subspace Constraints.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Robust Stochastic Principal Component Analysis.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013
Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting.
SIAM J. Imaging Sciences, 2013

Fast Subspace Search via Grassmannian Based Hashing.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Hybrid Linear Modeling via Local Best-Fit Flats.
International Journal of Computer Vision, 2012

On the Sample Complexity of Robust PCA.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010
Randomized hybrid linear modeling by local best-fit flats.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Invited Talk Abstracts.
Proceedings of the Manifold Learning and Its Applications, 2010

2009
On d-dimensional d-semimetrics and simplex-type inequalities for high-dimensional sine functions.
Journal of Approximation Theory, 2009

Spectral Curvature Clustering (SCC).
International Journal of Computer Vision, 2009

Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling.
Foundations of Computational Mathematics, 2009

Median K-Flats for hybrid linear modeling with many outliers.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Motion segmentation by SCC on the hopkins 155 database.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Kernel Spectral Curvature Clustering (KSCC).
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2007
Functional genomics via multiscale analysis: application to gene expression and ChIP-on-chip data.
Bioinformatics, 2007

1998
Asymptotic Theory of Large Deviations for Markov Chains.
SIAM Journal of Applied Mathematics, 1998


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