Multi-view synergistic learning for 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，以达到最佳决策的目的。该项目将产生机器智能的下一个伟大步骤--为学习多个视图奠定理论基础，并建立能够容纳多个信息源的下一代智能系统。这项研究是创建优雅地处理各种大数据的智能系统的基础。这将通过包括自动驾驶汽车开发、传感器技术和人类行为分析在内的应用，在全国范围内造福于科学、社会和经济。

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.