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Yung H. Lee

dblp:178/4929 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1972
—ORCID · none

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

Systems, architecture and hardware · 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 · 50% Geometric modeling and processing · 50%
Artificial intelligence
1 paper
Segmentation and scene understanding · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval
image analysis
0.011972
A Clustering Heuristic for Line-Drawing Analysis · IEEE Trans. Computers 1972
Geometric modeling and processing › spatial reasoning › geometric reasoning
line drawing interpretation
0.011972
A Clustering Heuristic for Line-Drawing Analysis · IEEE Trans. Computers 1972
Computer vision › Segmentation and scene understanding
perceptual grouping
0.011972
A Clustering Heuristic for Line-Drawing Analysis · IEEE Trans. Computers 1972

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

graph clustering · 0.0clustering heuristic · 0.0
YearPublicationVenuePosition
1972 A Clustering Heuristic for Line-Drawing Analysis
abstract
Certain arrangements of local features in a scene tend to group together and to be seen as units. It is suggested that, in some instances, this phenomenon might be interpretable as a process of cluster detection in a graph-structured space derived from the scene. This idea is illustrated using a class of line-drawing ``scenes'' that contain only horizontal and vertical line segments.
Azriel Rosenfeld, Yung H. Lee
IEEE Trans. Computers2