62 citations · 170 across the 44 of their papers we have counts for
5 papers · 1 filter
Sampling and Reconstruction of Graph Signals via Weak Submodularity and Semidefinite Relaxation
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo +1
We study the problem of sampling a bandlimited graph signal in the presence of noise, where the objective is to select a node subset of prescribed cardinality that minimizes the si…
Sparse recovery via Orthogonal Least-Squares under presence of Noise
Abolfazl Hashemi, Haris Vikalo
We consider the Orthogonal Least-Squares (OLS) algorithm for the recovery of a -dimensional -sparse signal from a low number of noisy linear measurements. The Exact Recovery…
Sampling Requirements and Accelerated Schemes for Sparse Linear Regression with Orthogonal Least-Squares
Abolfazl Hashemi, Haris Vikalo
We study the problem of inferring a sparse vector from random linear combinations of its components. We propose the Accelerated Orthogonal Least-Squares (AOLS) algorithm that impro…
Sparse Linear Regression via Generalized Orthogonal Least-Squares
Abolfazl Hashemi, Haris Vikalo
Sparse linear regression, which entails finding a sparse solution to an underdetermined system of linear equations, can formally be expressed as an -constrained least-squares…
Designing Optimal Mortality Risk Prediction Scores that Preserve Clinical Knowledge
Natalia M. Arzeno, Karla A. Lawson, Sarah V. Duzinski +1
Many in-hospital mortality risk prediction scores dichotomize predictive variables to simplify the score calculation. However, hard thresholding in these additive stepwise scores o…