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Data reconstruction using iteratively reweighted L1-principal component analysis for an electronic nose system
We propose a method to reconstruct damaged data based on statistical learning during data acquisition. In the process of measuring the data using a sensor, the damage of the data caused by the defect of the sensor or the environmental factor greatly degrades the performance of data classification. I...
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| Publicat a: | PLoS One |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6059466/ https://ncbi.nlm.nih.gov/pubmed/30044840 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0200605 |
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