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20162023
most citedRobust Regression For Image Binarization Under Heavy Noises and Nonuniform Background

47 citations · 82 across the 11 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

stat.AP2016★ 3 cited

Two-Level Structural Sparsity Regularization for Identifying Lattices and Defects in Noisy Images

Xin Li, Alex Belianinov, Ondrej Dyck +2

This paper presents a regularized regression model with a two-level structural sparsity penalty applied to locate individual atoms in a noisy scanning transmission electron microsc…

stat.ME2016

A Mixture of Linear-Linear Regression Models for Linear-Circular Regression

Ali Esmaieeli Sikaroudi, Chiwoo Park

We introduce a new approach to a linear-circular regression problem that relates multiple linear predictors to a circular response. We follow a modeling approach of a wrapped norma…

cs.CV2016★ 47 cited

Robust Regression For Image Binarization Under Heavy Noises and Nonuniform Background

Garret Vo, Chiwoo Park

This paper presents a robust regression approach for image binarization under significant background variations and observation noises. The work is motivated by the need of identif…

cs.CV2016

Sparse Filtered SIRT for Electron Tomography

Chen Mu, Chiwoo Park

Electron tomographic reconstruction is a method for obtaining a three-dimensional image of a specimen with a series of two dimensional microscope images taken from different viewin…

stat.AP2016★ 5 cited

Directional Statistics of Preferential Orientations of Two Shapes in Their Aggregate and Its Application to Study Preferential Attachment of Nanoparticles

Ali Esmaieeli Sikaroudi, David A. Welch, Taylor Woehl +4

Nanoscientists have long conjectured that adjacent nanoparticles aggregate with one another in certain preferential directions during a chemical synthesis of nanoparticles, which i…