Dictionary-Based Classification is a time series classification method that belongs to the broader category of symbolic representation techniques, distinguished by its transformation of time series data into discrete symbolic strings through quantization of amplitude values, enabling the use of string-based pattern matching and dictionary learning for classification.
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Ivana Tošić, Pascal Frossard · IEEE Signal Processing Magazine · 2011 · 785 citations · Full text
Ivana Tošić, Pascal Frossard · IEEE Signal Processing Magazine · 2011 · 489 citations
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319
Tsinghua University
Beijing, China
8 h-index
20 publications
759 citations
University of Copenhagen
Copenhagen, Denmark
5 h-index
21 publications
896 citations
Novo Nordisk Foundation
Copenhagen, Denmark
4 h-index
19 publications
866 citations
University of Maryland, College Park
College Park, United States
4 h-index
12 publications
747 citations
Beijing University of Technology
Beijing, China
4 h-index
11 publications
212 citations
Xidian University
Xi'an, China
4 h-index
8 publications
1.5K citations
University of Edinburgh
Edinburgh, United Kingdom
3 h-index
3 publications
145 citations
Shenzhen University
Shenzhen, China
3 h-index
5 publications
649 citations
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- Pattern Recognition
7 publications · 328 citations
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6 publications · 237 citations
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4 publications · 163 citations
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- Bioinformatics
4 publications · 344 citations
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- IEEE Signal Processing Letters
3 publications · 65 citations
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