activity
20092026
most citedThis is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms - Theory and Practice

289 citations · 1.2k across the 72 of their papers we have counts for

collaborators
Showing math.OCShow all

6 papers · 1 filter

math.OC2016

A New Approach to Inverting Backscatter and Extinction from Photon-Limited Lidar Observations

Willem J. Marais, Robert E. Holz, Yu Hen Hu +3

Atmospheric lidar observations provide a unique capability to directly observe the vertical column of cloud and aerosol scattering properties. Detector and solar background noise,…

math.OC2015★ 5 cited

Regularized Non-Gaussian Image Denoising

Albert Oh, Rebecca Willett

In image denoising problems, one widely-adopted approach is to minimize a regularized data-fit objective function, where the data-fit term is derived from a physical image acquisit…

math.OC2014★ 21 cited

Reducing Basis Mismatch in Harmonic Signal Recovery via Alternating Convex Search

Jonathan M. Nichols, Albert K. Oh, Rebecca M. Willett

The theory behind compressive sampling pre-supposes that a given sequence of observations may be exactly represented by a linear combination of a small number of basis vectors. In…

math.OC2014

Online Markov decision processes with Kullback-Leibler control cost

Peng Guan, Maxim Raginsky, Rebecca Willett

This paper considers an online (real-time) control problem that involves an agent performing a discrete-time random walk over a finite state space. The agent's action at each time…

math.OC2010★ 289 cited

This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction ALgorithms - Theory and Practice

Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett

The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Gau…

math.OC2009★ 22 cited

Sparse Poisson Intensity Reconstruction Algorithms

Zachary T. Harmany, Roummel F. Marcia, Rebecca M. Willett

The observations in many applications consist of counts of discrete events, such as photons hitting a dector, which cannot be effectively modeled using an additive bounded or Gauss…