Cargando…
Machine learning approaches for large scale classification of produce
The analysis and identification of different attributes of produce such as taxonomy, vendor, and organic nature is vital to verifying product authenticity in a distribution network. Though a variety of analysis techniques have been studied in the past, we present a novel data-centric approach to cla...
Autores principales: | Gupta, Otkrist, Das, Anshuman J., Hellerstein, Joshua, Raskar, Ramesh |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869718/ https://www.ncbi.nlm.nih.gov/pubmed/29588477 http://dx.doi.org/10.1038/s41598-018-23394-3 |
Ejemplares similares
-
A method for rapid 3D scanning and replication of large paleontological specimens
por: Das, Anshuman J., et al.
Publicado: (2017) -
Ultra-portable, wireless smartphone spectrometer for rapid, non-destructive testing of fruit ripeness
por: Das, Anshuman J., et al.
Publicado: (2016) -
Large-scale machine learning for metagenomics sequence classification
por: Vervier, Kévin, et al.
Publicado: (2016) -
Gene prediction in metagenomic fragments: A large scale machine learning approach
por: Hoff, Katharina J, et al.
Publicado: (2008) -
Large scale machine learning with Python: learn to build powerful machine learning models quickly and deploy large-scale predictive applications
por: Sjardin, Bastiaan, et al.
Publicado: (2016)