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Domain agnostic online semantic segmentation for multi-dimensional time series
Unsupervised semantic segmentation in the time series domain is a much studied problem due to its potential to detect unexpected regularities and regimes in poorly understood data. However, the current techniques have several shortcomings, which have limited the adoption of time series semantic segm...
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| Publicado no: | Data Min Knowl Discov |
|---|---|
| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6373324/ https://ncbi.nlm.nih.gov/pubmed/30828258 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10618-018-0589-3 |
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