2016 conference paper

Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric

2016 ieee international conference on image processing (icip), 1364–1368.

By: S. Ghanem n, E. Skau n, H. Krim n, H. Clouse* & W. Sakla*

TL;DR: Simulation results demonstrate the effectiveness and the reliability of the Henze-Penrose metric in estimating the inter-class separability and the proposed bounds are exploited for selecting the least number of features that would retain sufficient discriminative information. (via Semantic Scholar)
UN Sustainable Development Goal Categories
10. Reduced Inequalities (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Pansharpening via coupled triple factorization dictionary learning

International conference on acoustics speech and signal processing, 1234–1237.

By: E. Skau n, B. Wohlberg*, H. Krim n & L. Dai n

TL;DR: The results demonstrate that the data fusion model can successfully be applied to the pan-sharpening problem and is applicable to the pansharpening data fusion problem. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2011 journal article

Finite-size effects in nanocomposite thin films and fibers


By: D. Stevens n, E. Skau n, L. Downen n, M. Roman n & L. Clarke n

MeSH headings : Monte Carlo Method; Nanocomposites / chemistry; Probability
TL;DR: Findings indicate that sample shape, as well as relative size, influences percolation in the finite-size regime, as the sample became quasi-one-dimensional. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

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