Demo Data from VLDB 2026 / reviewers in the wild / expert
Brian McKinnon
dblp:52/6185
· DBLP profile ↗
4ranked-venue papers
3as first author
0since 2021 · last 2008
0000-0002-2257-4721ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorTheory of computation · 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.
| Theoretical computer science
1 paper |
Computational complexity · 50% Algorithms and data structures · 50% | |
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › code clone detection
software plagiarism detection |
0.0 | 1 | 2004 | Shared information and program plagiarism detection · IEEE Trans. Inf. Theory 2004 |
Computational complexity
kolmogorov complexity |
0.0 | 1 | 2004 | Shared information and program plagiarism detection · IEEE Trans. Inf. Theory 2004 |
Algorithms and data structures
similarity measures |
0.0 | 1 | 2004 | Shared information and program plagiarism detection · IEEE Trans. Inf. Theory 2004 |
Methods — techniques the papers use, named apart from their topics
compression heuristic · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Stereo-Vision Based Control of a Car Using Fast Line-Segment Extraction
Brian McKinnon, Jacky Baltes, John Anderson 0001 |
RoboCup | 1 |
| 2005 | A Region-Based Approach to Stereo Matching for USAR
Brian McKinnon, Jacky Baltes, John Anderson 0001 |
RoboCup | 1 |
| 2004 | Practical Region-Based Matching for Stereo Vision
Brian McKinnon, Jacky Baltes |
IWCIA | 1 |
| 2004 | Shared information and program plagiarism detectionabstractA fundamental question in information theory and in computer science is how to measure similarity or the amount of shared information between two sequences. We have proposed a metric, based on Kolmogorov complexity, to answer this question and have proven it to be universal. We apply this metric in measuring the amount of shared information between two computer programs, to enable plagiarism detection. We have designed and implemented a practical system SID (Software Integrity Diagnosis system) that approximates this metric by a heuristic compression algorithm. Experimental results demonstrate that SID has clear advantages over other plagiarism detection systems. SID system server is online at http://software.bioinformatics.uwaterloo.ca/SID/. Brent Francia, Ming Li 0001, Brian McKinnon, Amit Seker |
IEEE Trans. Inf. Theory | 4 |