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Pattern matching: overview, benchmark and comparison with F-transform general matching algorithm
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DOI：10.1007/s00500-017-2618-3.png)
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摘要
En 中文
The goal of this paper is to introduce a pattern matching problem and specify its role in the context of similar disciplines such as pattern recognition, content-based object retrieval and semantic object retrieval. Historical development of the disciplines together with a taxonomy is given and a short overview of currently used methods for pattern matching is presented. Moreover, a general soft computing algorithm for pattern matching based on fuzzy transform is proposed together with its version working over graphic cards. Finally, a comparison of the presented methods with respect to their possibilities of usage and computational time is given and graphically illustrated.
Keyword:
Pattern matching
Pattern searching
Fuzzy transform
F-transform
Approximate searching
GPU matching algorithm
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期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
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A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video.png)
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