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...

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Detalles Bibliográficos
Autores principales: Higa, Kyota, Iwamoto, Kota
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

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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