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CTD: Fast, accurate, and interpretable method for static and dynamic tensor decompositions
How can we find patterns and anomalies in a tensor, i.e., multi-dimensional array, in an efficient and directly interpretable way? How can we do this in an online environment, where a new tensor arrives at each time step? Finding patterns and anomalies in multi-dimensional data have many important a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059458/ https://www.ncbi.nlm.nih.gov/pubmed/30044837 http://dx.doi.org/10.1371/journal.pone.0200579 |