Multi-view synergistic learning for human behaviour analysis

用于人类行为分析的多视图协同学习

• 批准号: DE180101438
• 负责人: A/Prof Chang Xu
• 金额: $ 24.95万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Early Career Researcher Award
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DE180101438
• 关键词: Multi; view; synergistic; learning; human

This project aims to equip machines with a human-likeability to synergistically harness multiple information sources for the purpose of optimal decision-making. This project will produce the next great step for machine intelligence - laying the theoretical foundation for the learning of multiple views and building the next generation of intelligent systems which can accommodate multiple information sources. This research is fundamental to the creation of intelligent systems that elegantly tackle varieties of big data. This should benefit science, society, and the economy nationally through applications including autonomous vehicle development, sensor technologies, and human behaviour analysis.

该项目旨在为机器配备类似人类的能力，以协同利用多个信息源进行最佳决策。该项目将为机器智能迈出下一个伟大的步伐-为学习多个视图奠定理论基础，并构建可容纳多个信息源的下一代智能系统。 这项研究是创建智能系统的基础，这些系统可以优雅地处理各种大数据。这将通过自动驾驶汽车开发、传感器技术和人类行为分析等应用，使国家的科学、社会和经济受益。