Correlation discovery for multi-view and multi-label learning
Correlation indicates the interactions or connections across different instances. It exists in a wide range of real-world scenarios such as scene understanding, social network, time-series data, and human-object interactions. Correlation provides the unique and informative knowledge to reveal the la...
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| Online Access: | http://hdl.handle.net/2047/D20409219 |