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Yujiun P. Wang

dblp:14/1228 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author

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
Algorithms and data structures · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › sequence algorithms › string algorithms › string matching
approximate string matching
0.011990
Optimal Correspondence of String Subsequences · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Algorithms and data structures › sequence algorithms
string algorithms
0.011990
Optimal Correspondence of String Subsequences · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Algorithms and data structures › sequence algorithms › string algorithms
string matching
0.011990
Optimal Correspondence of String Subsequences · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Image and video processing › document image analysis › graphics recognition
barcode decoding
0.011990
Optimal Correspondence of String Subsequences · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Image and video processing
document image analysis
0.011990
Optimal Correspondence of String Subsequences · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Image and video processing
image matching
0.011990
Optimal Correspondence of String Subsequences · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Image and video processing › stereo vision
stereo matching
0.011990
Optimal Correspondence of String Subsequences · IEEE Trans. Pattern Anal. Mach. Intell. 1990

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

edit distance · 0.0dynamic programming · 0.0
YearPublicationVenuePosition
1990 Optimal Correspondence of String Subsequences
abstract
The definition of optimal correspondent subsequence (OCS), which extends the finite alphabet editing error minimization matching to infinite alphabet penalty minimization matching, is given. The authors prove that the string distance derived from OCS is a metric. An algorithm to compute the string-to-string OCS is given. The computational complexity of OCS is analyzed. OCS is more efficient than relaxation and elastic matching for 1D problems. An algorithm combining syntactic information in template matching is given to show the ease of integrating regular grammar into the OCS technique. Since in different applications different penalty functions may be required, two of them are discussed: one pointwise and the other piecewise. The pointwise application consists of a stereo epipolar line matching problem solved by using string-to-string OCS. The feasibility of applying OCS to UPC bar-code recognition is investigated, showing the elegance of string-to-regular-expression OCS compared to the relaxation and elastic matching techniques.>
Yujiun P. Wang, Theodosios Pavlidis
IEEE Trans. Pattern Anal. Mach. Intell.1