Multi-view synergistic learning for human behaviour analysis

该项目旨在为机器配备人类的亲和力，以协同利用多个信息源，以实现最佳决策。这个项目将产生机器智能的下一个伟大的步骤-为多视图学习奠定理论基础，并建立下一代可以容纳多个信息源的智能系统。这项研究是创建智能系统的基础，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，使全国的科学、社会和经济受益。

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.