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A New Texture Feature for Improved Food Recognition Accuracy in a Mobile Phone Based Dietary Assessment System.

, , , , и . ICME Workshops, стр. 418-423. IEEE Computer Society, (2012)

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Segmentation assisted food classification for dietary assessment., , , , , , и . Computational Imaging, том 7873 из SPIE Proceedings, стр. 78730B. IS&T/SPIE, (2011)Modified dynamic time warping (MDTW) for estimating temporal dietary patterns., , , , , и . GlobalSIP, стр. 948-952. IEEE, (2017)Efficient superpixel based segmentation for food image analysis., , , , и . ICIP, стр. 2544-2548. IEEE, (2016)Applied Visual Analytics for Exploring the National Health and Nutrition Examination Survey., , , , и . HICSS, стр. 1855-1863. IEEE Computer Society, (2012)Food image analysis: The big data problem you can eat!, , , , , , и . ACSSC, стр. 1263-1267. IEEE, (2016)An Overview of the Technology Assisted Dietary Assessment Project at Purdue University., , , , , и . ISM, стр. 290-295. IEEE Computer Society, (2010)Food image analysis: Segmentation, identification and weight estimation., , , , и . ICME, стр. 1-6. IEEE Computer Society, (2013)Integrated database system for mobile dietary assessment and analysis., , , , , и . ICME, стр. 1-6. IEEE Computer Society, (2011)Single-View Food Portion Estimation Based on Geometric Models., , , , и . ISM, стр. 385-390. IEEE Computer Society, (2015)The use of co-occurrence patterns in single image based food portion estimation., , , и . GlobalSIP, стр. 462-466. IEEE, (2017)