Demo Data from EDBT 2026 / reviewers in the wild / expert
Cheng-Wen Yan
dblp:04/9375
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1987
—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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 67% Data models and query languages · 33% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › image retrieval
content-based image retrieval |
0.0 | 1 | 1987 | Iconic Indexing by 2-D Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1987 |
Information retrieval › multimedia analysis and retrieval › multimedia indexing
iconic indexing |
0.0 | 1 | 1987 | Iconic Indexing by 2-D Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1987 |
Data models and query languages › query language design
pictorial query language |
0.0 | 1 | 1987 | Iconic Indexing by 2-D Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1987 |
Algorithms and data structures › sequence algorithms › string algorithms
string matching |
0.0 | 1 | 1987 | Iconic Indexing by 2-D Strings · IEEE Trans. Pattern Anal. Mach. Intell. 1987 |
Methods — techniques the papers use, named apart from their topics
symbolic picture representation · 0.02-d string encoding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Iconic Indexing by 2-D StringsabstractIn this paper, we describe a new way of representing a symbolic picture by a two-dimensional string. A picture query can also be specified as a 2-D string. The problem of pictorial information retrieval then becomes a problem of 2-D subsequence matching. We present algorithms for encoding a symbolic picture into its 2-D string representation, reconstructing a picture from its 2-D string representation, and matching a 2-D string with another 2-D string. We also prove the necessary and sufficient conditions to characterize ambiguous pictures for reduced 2-D strings as well as normal 2-D strings. This approach thus allows an efficient and natural way to construct iconic indexes for pictures. Shi-Kuo Chang, Qing-Yun Shi, Cheng-Wen Yan |
IEEE Trans. Pattern Anal. Mach. Intell. | 3 |