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05/27/2023
Performance Bounds for LASSO under Multiplicative Noise: Applications to Pooled RT-PCR Testing
Group testing is a technique which avoids individually testing n samples...
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05/12/2023
Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing
Popular social media platforms employ neural network based image moderat...
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04/18/2023
Estimating Joint Probability Distribution With Low-Rank Tensor Decomposition, Radon Transforms and Dictionaries
In this paper, we describe a method for estimating the joint probability...
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04/13/2023
Analysis of Tomographic Reconstruction of 2D Images using the Distribution of Unknown Projection Angles
It is well known that a band-limited signal can be reconstructed from it...
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11/07/2022
Group Testing with Side Information via Generalized Approximate Message Passing
Group testing can help maintain a widespread testing program using fewer...
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10/25/2022
GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion Estimates
Videos shot by laymen using hand-held cameras contain undesirable shaky ...
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03/03/2022
Joint Probability Estimation Using Tensor Decomposition and Dictionaries
In this work, we study non-parametric estimation of joint probabilities ...
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10/06/2021
A Weighted Generalized Coherence Approach for Sensing Matrix Design
As compared to using randomly generated sensing matrices, optimizing the...
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06/04/2021
Contact Tracing Information Improves the Performance of Group Testing Algorithms
Group testing can help maintain a widespread testing program using fewer...
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03/22/2021
Recovery of Joint Probability Distribution from one-way marginals: Low rank Tensors and Random Projections
Joint probability mass function (PMF) estimation is a fundamental machin...
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02/19/2021
Analyzing Cross Validation In Compressed Sensing With Mixed Gaussian And Impulse Measurement Noise With L1 Errors
Compressed sensing (CS) involves sampling signals at rates less than the...
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02/08/2021
Reconstruction of Sparse Signals under Gaussian Noise and Saturation
Most compressed sensing algorithms do not account for the effect of satu...
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11/28/2020
Contact Tracing Enhances the Efficiency of COVID-19 Group Testing
Group testing can save testing resources in the context of the ongoing C...
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12/23/2019
Low radiation tomographic reconstruction with and without template information
Low-dose tomography is highly preferred in medical procedures for its re...
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09/11/2019
Tomographic reconstruction to detect evolving structures
The need for tomographic reconstruction from sparse measurements arises ...
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08/06/2019
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations
Images of static scenes submerged beneath a wavy water surface exhibit s...
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12/23/2018
Learning from past scans: Tomographic reconstruction to detect new structures
The need for tomographic reconstruction from sparse measurements arises ...
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12/06/2017
Tomographic Reconstruction using Global Statistical Prior
Recent research in tomographic reconstruction is motivated by the need t...
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09/07/2016