Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data
Surviving the data deluge: Scalable feature extraction, discrimination and analysis for computer vision tasks using compressed sensed data
批准号:
DP1093233
负责人:
Prof Svetha Venkatesh
金额:
$21.58万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2010
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2010-01-01 至 2012-12-31
中文摘要
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英文摘要
Strategically, our pioneering solutions besides being technically and socially significant, open fresh options for sensor-agnostic data analysis. The technical significance lies through the creation of new technologies for the critical national and global security markets, currently overwhelmed by data. The social significance arises from our solutions being privacy preserving, providing new avenues for the production of novel, socially acceptable products for aged care monitoring. Our methods spearhead future advancement in diverse disciplines due to the wide applicability of the methods to other sensor networks (Square Kilometre Array) and data types, providing new frameworks for addressing crucial problems of data management.
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