Cloud-based SVM for food categorization
Cloud-based SVM for food categorization
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Publisher
New York: Springer US
Journal title
Language
English
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Publication information
Publisher
New York: Springer US
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Scope and Contents
Contents
As people across the globe are becoming more interested in watching their weight, eating more healthily, and avoiding obesity, a system that can measure calories and nutrition in everyday meals can be very useful. Recently, due to ubiquity of mobile devices such as smart phones, the health monitoring applications are accessible by the patients prac...
Alternative Titles
Full title
Cloud-based SVM for food categorization
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Record Identifier
TN_cdi_proquest_miscellaneous_1718947620
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1718947620
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ISSN
1380-7501
E-ISSN
1573-7721
DOI
10.1007/s11042-014-2116-x