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05/12/2020
Detection thresholds in very sparse matrix completion
Let A be a rectangular matrix of size m× n and A_1 be the random matrix ...
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05/22/2019
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting
Singular value decomposition (SVD) based principal component analysis (P...
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05/05/2019
Free Component Analysis: Theory, Algorithms & Applications
We describe a method for unmixing mixtures of freely independent random ...
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03/04/2019
Time Series Source Separation using Dynamic Mode Decomposition
The dynamic mode decomposition (DMD) extracted dynamic modes are the non...
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09/06/2018
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models
Sparsity and low-rank models have been popular for reconstructing images...
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12/18/2017
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video
This work presents a novel approach for robust PCA with total variation ...
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10/24/2017
Robust Photometric Stereo via Dictionary Learning
Photometric stereo is a method that seeks to reconstruct the normal vect...
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09/30/2017
Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization
This paper introduces a novel approach to robust surface reconstruction ...
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09/30/2017
Robust Photometric Stereo Using Learned Image and Gradient Dictionaries
Photometric stereo is a method for estimating the normal vectors of an o...
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09/27/2017
Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video
This work presents a novel approach for robust PCA with total variation ...
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11/13/2016
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
Sparsity-based approaches have been popular in many applications in imag...
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06/25/2013