Search Results for author: Chuneeta Nunhokee

Found 2 papers, 1 papers with code

A Systematic Review of Low-Rank and Local Low-Rank Matrix Approximation in Big Data Medical Imaging

no code implementations • 21 Feb 2024 • Sisipho Hamlomo, Marcellin Atemkeng, Yusuf Brima, Chuneeta Nunhokee, Jeremy Baxter

We note a significant shift towards a preference for LLRMA in the medical imaging field since 2015, demonstrating its potential and effectiveness in capturing complex structures in medical data compared to LRMA.

Bayesian Optimization Image Segmentation +1

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DAYENU: A Simple Filter of Smooth Foregrounds for Intensity Mapping Power Spectra

2 code implementations • 23 Apr 2020 • Aaron Ewall-Wice, Nicholas Kern, Joshua S. Dillon, Adrian Liu, Aaron Parsons, Saurabh Singh, Adam Lanman, Paul La Plante, Nicolas Fagnoni, Eloy de Lera Acedo, David R. DeBoer, Chuneeta Nunhokee, Philip Bull, Tzu-Ching Chang, T. Joseph Lazio, James Aguirre, Sean Weinberg

We introduce DAYENU, a linear, spectral filter for HI intensity mapping that achieves the desirable foreground mitigation and error minimization properties of inverse co-variance weighting with minimal modeling of the underlying data.

Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics

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