Published February 20, 2020
| Version v1
Journal article
Open
FoodEx2vec: New foods' representation for advanced food data analysis
- 1. Computer Systems Department, Jožef Stefan Institute
- 2. Jožef Stefan International Postgraduate School. Computer Systems Department, Jožef Stefan Institute
- 3. Computer Systems Department, Jožef Stefan Institute. Jožef Stefan International Postgraduate School. School of Health Sciences, Faculty of Health and Medicine, Priority Research Centre in Physical Activity and Nutrition, The University of Newcastle, Callaghan, Australia
Description
This paper presents an approach for representing foods in the form of vectors of continuous numbers (food embeddings) as an alternative solution to manual indexing. The utility of representing food data as a vector of continuous numbers is evaluated and demonstrated through a series of tasks.
Files
17,New foods’ representation for advanced food data analysis.pdf
Files
(971.0 kB)
Name | Size | Download all |
---|---|---|
md5:90dbe66064e70d3d2c7efa4d63a3fabc
|
971.0 kB | Preview Download |
Additional details
Identifiers
Related works
- Is published in
- 0278-6915 (ISSN)