Scalable classification for massive datasets: randomised algorithms

海量数据集的可扩展分类：随机算法

• 批准号: LP120200485
• 负责人: Prof Anton van den Hengel
• 金额: $ 37.11万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2012
• 资助国家: 澳大利亚
• 起止时间: 2012-07-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP120200485
• 关键词: Scalable; classification; massive; datasets; randomised

The project will develop multi-class classification technologies capable of distinguishing between tens of thousands of classes, which are trained and applied to massive datasets. The technology will be applied in the field of microbiology, bringing high quality digital imaging and machine learning to this important area.

该项目将开发能够区分成千上万个类别的多类分类技术，这些分类技术将被训练并应用于大规模数据集。该技术将应用于微生物学领域，为这一重要领域带来高质量的数字成像和机器学习。