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Robust Shelf Monitoring Using Supervised Learning for Improving On-Shelf Availability in Retail Stores †
This paper proposes a method to robustly monitor shelves in retail stores using supervised learning for improving on-shelf availability. To ensure high on-shelf availability, which is a key factor for improving profits in retail stores, we focus on understanding changes in products regarding increas...
Autores principales: | Higa, Kyota, Iwamoto, Kota |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631981/ https://www.ncbi.nlm.nih.gov/pubmed/31213015 http://dx.doi.org/10.3390/s19122722 |
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