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Found 2 papers, 1 papers with code
Leveraging The Topological Consistencies of Learning in Deep Neural Networks
Our newly developed practical topological characterization of DNNs allows for an additional set of applications.
Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent
In this paper, we derive an algorithm that can infer whether the behavior of an agent in a scene is intentional or unintentional based on its 3D kinematics, using the knowledge of self-propelled motion, Newtonian motion and their relationship.
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