Demo Data from VLDB 2026 / reviewers in the wild / expert
Richard A. Fundakowski
dblp:76/9703
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1983
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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 |
Multimedia analysis and retrieval · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Embedded and real-time systems · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › image analysis › visual inspection
surface defect detection |
0.0 | 1 | 1983 | A Real-Time Automated Visual Inspection System for Hot Steel Slabs · IEEE Trans. Pattern Anal. Mach. Intell. 1983 |
Multimedia analysis and retrieval › image analysis
visual inspection |
0.0 | 1 | 1983 | A Real-Time Automated Visual Inspection System for Hot Steel Slabs · IEEE Trans. Pattern Anal. Mach. Intell. 1983 |
Embedded and real-time systems › real-time signal processing
real-time image processing |
0.0 | 1 | 1983 | A Real-Time Automated Visual Inspection System for Hot Steel Slabs · IEEE Trans. Pattern Anal. Mach. Intell. 1983 |
Methods — techniques the papers use, named apart from their topics
syntactic/semantic classification · 0.0statistical classification · 0.0array processor · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1983 | A Real-Time Automated Visual Inspection System for Hot Steel SlabsabstractThis paper describes an inspection system designed to automatically detect and classify surface imperfections occurring on continuously cast hot steel slabs in a steel mill. The need to perform inspection at real-time throughput rates of 546 Kpixels/s using off-the-shelf components has led to the development of a unique architecture and algorithm set. The segmentation operations are done in a high-speed array processor front end. The imperfection classification is done in a mini-computer which uses statistical as well as syntactic/semantic classification techniques. The inspection system is currently undergoing evaluation in a steel mill. Bindinganavle R. Suresh, Richard A. Fundakowski, Tod S. Levitt, John E. Overland |
IEEE Trans. Pattern Anal. Mach. Intell. | 2 |