Data winnowing

Y. Freund
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Abstract

Massive quantities of digital data are being collected in every aspect of modern life. Examples include Personal photos and videos, biological and medical images and recordings from sensor arrays. To transform these massive data streams into useful information we use a sequence of "winnowing" stages. Each step reduces the size of the data by an order of magnitude; extracting the wheat form the chaff. In this talk I will describe this approach in a variety of contexts, ranging from the analysis of genetic pathways in fruit-fly embryos and C-Elegans worms to counting birds and helping elderly people living alone keep in touch with their family and caregivers.
数据筛选
现代生活的各个方面都在收集大量的数字数据。例子包括个人照片和视频、生物和医学图像以及来自传感器阵列的记录。为了将这些海量的数据流转换成有用的信息,我们使用了一系列的“筛选”阶段。每一步都将数据的大小减少一个数量级;把小麦从谷壳中剥离出来。在这次演讲中,我将在各种情况下描述这种方法,从分析果蝇胚胎和C-Elegans蠕虫的遗传途径到计算鸟类和帮助独居的老年人与家人和照顾者保持联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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