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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...
| 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/PMC6059466/ https://www.ncbi.nlm.nih.gov/pubmed/30044840 http://dx.doi.org/10.1371/journal.pone.0200605 |