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01/17/2023
Artificial intelligence as a gateway to scientific discovery: Uncovering features in retinal fundus images
Purpose: Convolutional neural networks can be trained to detect various ...
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11/04/2022
Embracing Off-the-Grid Samples
Many empirical studies suggest that samples of continuous-time signals t...
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07/20/2022
Learning from few examples: Classifying sex from retinal images via deep learning
Deep learning has seen tremendous interest in medical imaging, particula...
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07/19/2022
A coherence parameter characterizing generative compressed sensing with Fourier measurements
In Bora et al. (2017), a mathematical framework was developed for compre...
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12/23/2020
NBIHT: An Efficient Algorithm for 1-bit Compressed Sensing with Optimal Error Decay Rate
The Binary Iterative Hard Thresholding (BIHT) algorithm is a popular rec...
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10/17/2020
On the best choice of Lasso program given data parameters
Generalized compressed sensing (GCS) is a paradigm in which a structured...
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01/28/2020
Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications
Random linear mappings are widely used in modern signal processing, comp...
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11/18/2019
On one-stage recovery for ΣΔ-quantized compressed sensing
Compressed sensing (CS) is a signal acquisition paradigm to simultaneous...
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11/18/2019
Deterministic partial binary circulant compressed sensing matrices
Compressed sensing (CS) is a signal acquisition paradigm to simultaneous...
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11/18/2019
RIP constants for deterministic compressed sensing matrices-beyond Gershgorin
Compressed sensing (CS) is a signal acquisition paradigm to simultaneous...
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10/29/2018
Parameter instability regimes for sparse proximal denoising programs
Compressed sensing theory explains why Lasso programs recover structured...
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04/09/2018
Memoryless scalar quantization for random frames
Memoryless scalar quantization (MSQ) is a common technique to quantize f...
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03/31/2018
Learning tensors from partial binary measurements
In this paper we generalize the 1-bit matrix completion problem to highe...
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11/14/2017
Near-optimal sample complexity for convex tensor completion
We analyze low rank tensor completion (TC) using noisy measurements of a...
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08/11/2016
Multi-View Product Image Search Using Deep ConvNets Representations
Multi-view product image queries can improve retrieval performance over ...
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03/14/2016
U-CATCH: Using Color ATtribute of image patCHes in binary descriptors
In this study, we propose a simple yet very effective method for extract...
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05/06/2015