Template-based Matching
Template-Based Matching is a pattern recognition method that identifies the optimal correspondence between a time series and a reference template by minimizing alignment distortion through dynamic time warping.
1.2K
Publications
57.9K
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3.9K
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1.3K
Institutions
Publications per year
2017–2026
319
Parents
1.2K
Moving target classification and tracking from real-time video
Alan J. Lipton, Hironobu Fujiyoshi, R. Patil · 2002 · 1.1K citations
Replay and Time Compression of Recurring Spike Sequences in the Hippocampus
Zoltán Nádasdy, Hajime Hirase, András Czurkó et al. · Journal of Neuroscience · 1999 · 973 citations · Full text
Historical review of OCR research and development
S. Mori, Ching Y. Suen, Kazuhiko Yamamoto · Proceedings of the IEEE · 1992 · 869 citations
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Chinese Academy of Sciences
Beijing, China
14 h-index
44 publications
1.4K citations
Tsinghua University
Beijing, China
14 h-index
47 publications
2.6K citations

Centre National de la Recherche Scientifique
Paris, France
12 h-index
47 publications
1.6K citations
Stanford University
Stanford, United States
12 h-index
32 publications
2.6K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
11 h-index
21 publications
1.9K citations

Harbin Institute of Technology
Harbin, China
10 h-index
31 publications
686 citations
The University of Tokyo
Tokyo, Japan
10 h-index
35 publications
768 citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
23 publications
5.4K citations
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TPAMI · 19 publications · 4.4K citations
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19 publications · 716 citations
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29 publications · 1.1K citations
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14 publications · 947 citations
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12 publications · 1K citations
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