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Development of a mobile user interface for image-based dietary assessment., , , , , , and . MUM, page 13. ACM, (2010)Mobile analytics for emergency response and training., , , , , and . Information Visualization, 7 (1): 77-88 (2008)OpenCL accelerated deep learning for visual understanding., , , , , , and . IWOCL, page 21:1. ACM, (2015)SDViz: A Context-Preserving Interactive Visualization System for Technical Diagrams., , , , , and . Comput. Graph. Forum, 28 (3): 943-950 (2009)The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation., , , , , , and . J. Sel. Topics Signal Processing, 4 (4): 756-766 (2010)Bristle Maps: A Multivariate Abstraction Technique for Geovisualization., , , , , and . IEEE Trans. Vis. Comput. Graph., 19 (9): 1438-1454 (2013)Evaluating the effectiveness of visualization techniques for schematic diagrams in maintenance tasks., , , , , and . APGV, page 33-40. ACM, (2010)Power Efficient MapReduce Workload Acceleration Using Integrated-GPU., , , , , and . BigDataService, page 162-169. IEEE Computer Society, (2015)clCaffe: OpenCL Accelerated Caffe for Convolutional Neural Networks., , , , , and . IPDPS Workshops, page 50-57. IEEE Computer Society, (2016)Volume estimation using food specific shape templates in mobile image-based dietary assessment., , , , , , , and . Computational Imaging, volume 7873 of SPIE Proceedings, page 78730K. IS&T/SPIE, (2011)