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20102026
most citedIdentifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling

53 citations · 293 across the 32 of their papers we have counts for

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cs.CV2019★ 5 cited

Target-based Hyperspectral Demixing via Generalized Robust PCA

Sirisha Rambhatla, Xingguo Li, Jarvis Haupt

Localizing targets of interest in a given hyperspectral (HS) image has applications ranging from remote sensing to surveillance. This task of target detection leverages the fact th…

cs.CV2019★ 13 cited

A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing

Sirisha Rambhatla, Xingguo Li, Jineng Ren +1

We consider the task of localizing targets of interest in a hyperspectral (HS) image based on their spectral signature(s), by posing the problem as two distinct convex demixing tas…

cs.CV2014

Anomaly-Sensitive Dictionary Learning for Unsupervised Diagnostics of Solid Media

Jeffrey M. Druce, Jarvis D. Haupt, Stefano Gonella

This paper proposes a strategy for the detection and triangulation of structural anomalies in solid media. The method revolves around the construction of sparse representations of…

cs.CV2013★ 6 cited

Automated Defect Localization via Low Rank Plus Outlier Modeling of Propagating Wavefield Data

Stefano Gonella, Jarvis D. Haupt

This work proposes an agnostic inference strategy for material diagnostics, conceived within the context of laser-based non-destructive evaluation methods, which extract informatio…

cs.CV2012

Level Set Estimation from Compressive Measurements using Box Constrained Total Variation Regularization

Akshay Soni, Jarvis Haupt

Estimating the level set of a signal from measurements is a task that arises in a variety of fields, including medical imaging, astronomy, and digital elevation mapping. Motivated…