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Tuesday, August 9, 2016

Deeply Semantic Inductive Spatio-Temporal Learning. (arXiv:1608.02693v1 [cs.AI])

We present an inductive spatio-temporal learning framework rooted in inductive logic programming. With an emphasis on visuo-spatial language, logic, and cognition, the framework supports learning with relational spatio-temporal features identifiable in a range of domains involving the processing and interpretation of dynamic visuo-spatial imagery. We present a prototypical system, and an example application in the domain of computing for visual arts and computational cognitive science.



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