Food Item Recognition and Intake Measurement Techniques-Reference-Cited by-同舟云学术

Food Item Recognition and Intake Measurement Techniques

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 11th International Conference on Machine Learning and Computing - ICMLC '19
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Author:

Shehzad Adnan¹,Zafar Nauman²,Hassan Mir¹,Shen Zhidong¹

Affiliation:

1. School of Cyber Science and Engineering, Wuhan University, Wuhan, Hubei China

2. School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan

Funder

Natural Science Foundation of Hubei Province

National Key R&D Program of China

Publisher

ACM Press

Reference33 articles.

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3. M. Ng, T. Fleming, M. Robinson, B. Thomson, N. Graetz, C. Margono, E. C. Mullany, S. Biryukov, C. Abbafati, S. F. Abera, et al., Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the global burden of disease study 2013, The Lancet 384 (9945) (2014) 766--781.

4. Identifying-project-assumptions-and-constraints, http://blog.learningtree.com/identifying-project-assumptions-and-constraints/

5. G. Biro, K. Hulshof, L. Ovesen, J. A. Cruz, Selection of methodology to assess food intake, European Journal of Clinical Nutrition 56 (S2) (2002) S25.

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