Analysis of Incomplete Multimodal Data Fusion Algorithm Based on Deep Semantic Matching
This paper the analysis of deep semantic characteristics in deep learning networks,proposes an incomplete multimodal data fusion method,and utilizes the high-level semantics of multimodality to construct a unified deep learning model,which can integrate modal private deep networks and share modal features.
deep learning networksmultimodal dataintelligent algorithms
NETL
NSTL
万方数据
