Demo Data from VLDB 2026 / reviewers in the wild / expert
Reymond Takashima
dblp:130/1015
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, 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.
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 77% Mathematical optimization · 23% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video processing › hyperspectral image analysis › spectral unmixing
endmember extraction |
0.2 | 1 | 2013 | Reducing the Complexity of the N-FINDR Algorithm for Hyperspectral Image Analysis · IEEE Trans. Image Process. 2013 |
Image and video processing
hyperspectral image analysis |
0.2 | 1 | 2013 | Reducing the Complexity of the N-FINDR Algorithm for Hyperspectral Image Analysis · IEEE Trans. Image Process. 2013 |
Mathematical optimization › continuous optimization
convex optimization |
0.0 | 1 | 2013 | Reducing the Complexity of the N-FINDR Algorithm for Hyperspectral Image Analysis · IEEE Trans. Image Process. 2013 |
Methods — techniques the papers use, named apart from their topics
N-FINDR algorithm · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Reducing the Complexity of the N-FINDR Algorithm for Hyperspectral Image Analysis
Shaun Dowler, Reymond Takashima, Mark Andrews |
IEEE Trans. Image Process. | 2 |