“Learning Relational Event Models from Video” by Krishna S. R. Dubba, Anthony G. Cohn, David C. Hogg

In this paper scientists from the University of Leeds introduce a new structure for supervised relational learning of event models.

Inductive Logic Programming and other machine learning techniques are adapted to use video data.   Efficiency balances generalization and over especification deploying layers of differentiated hierarchy of object types.
Experimental results presented suggest that the techniques are suitable to real world scenarios.

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