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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)
A. 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, Linda R. Tropp, L. Troy
semanticscholar   +1 more source

Modeling Relational Data with Graph Convolutional Networks

Extended Semantic Web Conference, 2017
Knowledge graphs enable a wide variety of applications, including question answering and information retrieval. Despite the great effort invested in their creation and maintenance, even the largest (e.g., Yago, DBPedia or Wikidata) remain incomplete.
M. Schlichtkrull   +5 more
semanticscholar   +1 more source

Perspectives of Students With Special Needs on Inclusion in General Physical Education: A Social-Relational Model of Disability.

Adapted Physical Activity Quarterly, 2019
This study aims to explore the perception of students with special needs on inclusion in physical education and identify the factors that facilitate or inhibit their inclusion.
Lijuan Wang
semanticscholar   +1 more source

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