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Human-like Relational Models for Activity Recognition in Video
We apply the method to a challenging subset of the something-something dataset and achieve a more robust performance against neural network baselines on challenging activities.
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network
This work presents a new model of polychronous patterns that can capture precise sequences of spikes directly in the neural simulation.
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