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06/20/2021
Generative Model Adversarial Training for Deep Compressed Sensing
Deep compressed sensing assumes the data has sparse representation in a ...
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06/13/2021
Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection
The problem of simultaneous column and row subset selection is addressed...
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03/19/2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
We propose LSDAT, an image-agnostic decision-based black-box attack that...
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11/16/2018
A Novel Approach to Sparse Inverse Covariance Estimation Using Transform Domain Updates and Exponentially Adaptive Thresholding
Sparse Inverse Covariance Estimation (SICE) is useful in many practical ...
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10/29/2018
A Novel Approach to Quantized Matrix Completion Using Huber Loss Measure
In this paper, we introduce a novel and robust approach to Quantized Mat...
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10/07/2018
Recovering Quantized Data with Missing Information Using Bilinear Factorization and Augmented Lagrangian Method
In this paper, we propose a novel approach in order to recover a quantiz...
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05/19/2018
Transduction with Matrix Completion Using Smoothed Rank Function
In this paper, we propose two new algorithms for transduction with Matri...
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04/07/2017
OBTAIN: Real-Time Beat Tracking in Audio Signals
In this paper, we design a system in order to perform the real-time beat...
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01/03/2017
New Methods of Enhancing Prediction Accuracy in Linear Models with Missing Data
In this paper, prediction for linear systems with missing information is...
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06/26/2016
Fast Methods for Recovering Sparse Parameters in Linear Low Rank Models
In this paper, we investigate the recovery of a sparse weight vector (pa...
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06/12/2016