Leveraging known data for missing label prediction in cultural heritage context

HIGHLIGHTS

  • who: Abdelhak Belhi and colleagues from the DISP Laboratory, University Lumière Lyon, Lyon, France have published the paper: Leveraging Known Data for Missing Label Prediction in Cultural Heritage Context, in the Journal: (JOURNAL)
  • what: The authors present a novel multimodal classification approach for cultural heritage assets that relies on a multitask neural network where a convolutional neural network (CNN) is designed for visual feature learning and a regular neural network is used for textual feature learning. The research community is focusing on how to leverage recent advances in data science and machine_learning to promote . . .

     

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