39 citations · 61 across the 12 of their papers we have counts for
4 papers · 1 filter
Iterative Null-space Projection Method with Adaptive Thresholding in Sparse Signal Recovery and Matrix Completion
Ashkan Esmaeili, Ehsan Asadi, Farokh Marvasti
Adaptive thresholding methods have proved to yield high SNRs and fast convergence in finding the solution to the Compressed Sensing (CS) problems. Recently, it was observed that th…
Using Empirical Covariance Matrix in Enhancing Prediction Accuracy of Linear Models with Missing Information
Ahmadreza Moradipari, Sina Shahsavari, Ashkan Esmaeili +1
Inference and Estimation in Missing Information (MI) scenarios are important topics in Statistical Learning Theory and Machine Learning (ML). In ML literature, attempts have been m…
Comparison of Several Sparse Recovery Methods for Low Rank Matrices with Random Samples
Ashkan Esmaeili, Farokh Marvasti
In this paper, we will investigate the efficacy of IMAT (Iterative Method of Adaptive Thresholding) in recovering the sparse signal (parameters) for linear models with missing data…
Fast Methods for Recovering Sparse Parameters in Linear Low Rank Models
Ashkan Esmaeili, Arash Amini, Farokh Marvasti
In this paper, we investigate the recovery of a sparse weight vector (parameters vector) from a set of noisy linear combinations. However, only partial information about the matrix…