Canonical correlation guided deep neural network (CCDNN) for multi-source data fusion (IMAGE)

IEEE Chinese Association of Automation

Canonical correlation guided deep neural network (CCDNN) for multi-source data fusion

Caption

The novel method leverages canonical correlation guided deep neural network-based technology for effective data fusion. Experimental results demonstrate superior performance across benchmark tasks, highlighting its potential for applications in intelligent control, automation, and data-driven engineering systems.

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Professor Zhiwen Chen from Central South University, China

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