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Exploring a rich spatial-temporal dependent relational model for skeleton-based action recognition by bidirectional LSTM-CNN

Neurocomputing, 2020
With the fast development of effective and low-cost human skeleton capture systems, skeleton-based action recognition has attracted much attention recently. Most existing methods using Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM)
Aichun Zhu   +6 more
semanticscholar   +1 more source

Making Research Usable Beyond Academic Circles: A Relational Model of Public Engagement

Analyses of Social Issues and Public Policy, 2020
There is a growing recognition among researchers, university administrators, funding agencies, and the broader public that the knowledge produced in academia often remains divorced from impacts and use in real-world contexts.
Amy T. Schalet, L. Tropp, Lisa Troy
semanticscholar   +1 more source

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