TEMPORAL DICTIONARY LEARNING FOR TIME-SERIES DECOMPOSITION
Dictionary Learning (DL) is a feature learning method that derives a finite collection of dictionary elements (atoms) from a given dataset. These atoms are small characteristic features representing recurring patterns within the data. A dictionary therefore is a compact representation of complex or...
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| Format: | Article |
| Language: | English |
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Universidad Privada Boliviana
2019-07-01
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| Series: | Investigación & Desarrollo |
| Subjects: | |
| Online Access: | http://www.upb.edu/revista-investigacion-desarrollo/index.php/id/article/view/192 |