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1
Food Item Recognition and Intake Measurement Techniques:
, In:
Proceedings of the 2019 11th International Conference on Machine Learning and Computing
,
Shehzad, Adnan
;
Zafar, Nauman
;
Hassan, Mir
. - p. 405-411 , 2019
Link:
https://dl.acm.org/doi/10.1145/3318299.3318379
RT T1 <cTitle>Proceedings of the 2019 11th International Conference on Machine Learning and Computing</cTitle>: T1 <Title>Food Item Recognition and Intake Measurement Techniques</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3318379&Exemplar=1&LAN=DE A1 Shehzad, Adnan A1 Zafar, Nauman A1 Hassan, Mir A1 Shen, Zhidong PB ACM YR 2019 K1 Calorie Measurement K1 Food Intake Measurement K1 Food Item Classification K1 Food Recognition K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Multi-task learning K1 Transfer learning K1 Supervised learning K1 Supervised learning by classification K1 Applied computing K1 Life and medical sciences K1 Health care information systems K1 Machine learning approaches K1 Neural networks K1 Machine learning algorithms SP 405 OP 411 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3318299.3318379 DO https://dl.acm.org/doi/10.1145/3318299.3318379 SF ELIB - SuUB Bremen
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