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Predicting Human Behavior Using User's Contextual Embedding by Convolution of Action Graph.

Aozora InagakiShosuke HajiRyoko NakamuraRyo OsawaTomohiro TakagiIsshu Munemasa
Published in: MIPR (2021)
Keyphrases
  • human behavior
  • user interface
  • graph embedding
  • image processing
  • visual attention
  • human subjects
  • object recognition
  • relevance feedback
  • contextual information
  • daily life
  • high quality
  • graph theory