Learning Latent Temporal Structure for Complex Event Detection
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As a reaction to this complexity, we designed a new
abstraction that allows us to express the simple computa-
tions we were trying to perform but hides the messy de-
tails of parallelization, fault-tolerance, data distribution
and load balancing in a library. Our abstraction is in-
spired by the map and reduce primitives present in Lisp
and many other functional languages. We realized that
most of our computations involved applying a map op-
eration to each logical “record” in our input in order to
compute a set of intermediate key/value pairs, and then
applying a reduce operation to all the values that shared
the same key, in order to combine the...
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Learning Latent Temporal Structure for Complex Event Detection
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Learning Latent Temporal Structure for Complex Event Detection
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