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Christopher S. Edwards

dblp:193/2259 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Deep learning architectures and training · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Deep learning architectures and training
differentiable programming		 0.412020
Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model · ECCV (27) 2020
Environmental and earth informatics › remote sensing
spectral unmixing		 0.412020
Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model · ECCV (27) 2020

Methods — techniques the papers use, named apart from their topics

physics-based dispersion model · 0.9
YearPublicationVenuePosition
2020 Differentiable Programming for Hyperspectral Unmixing Using a Physics-Based Dispersion Model
John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards, Philip Christensen, Suren Jayasuriya
 ECCV (27)4