Learning Motion-Difference Features using Gaussian Restricted Boltzmann Machines for Efficient Human Action Recognition

Tran, Son; Benetos, Emmanouil; Garcez, Artur d'Avila

Learning Motion-Difference Features using Gaussian Restricted Boltzmann Machines for Efficient Human Action Recognition

conference contribution

posted on 2025-01-07, 04:03 authored by Son TranSon Tran, Emmanouil Benetos, Artur d'Avila Garcez

Learning Motion-Difference Features using Gaussian Restricted Boltzmann Machines for Efficient Human Action Recognition

History

Pagination

2123-2129

Location

Beijing, China

Open access

No

Start date

2014-07-06

End date

2014-07-11

ISSN

2161-4393

eISSN

2161-4407

ISBN-13

978-1-4799-1484-5

Language

Eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

IJCNN 2014 : Proceedings of the International Joint Conference on Neural Networks 2014

Event

International Joint Conference on Neural Networks. (2014 : Beijing, China)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Series

IEEE International Joint Conference on Neural Networks (IJCNN)

Publication URL

https://doi.org/10.1109/ijcnn.2014.6889945

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Keywords

Computer Science Computer Science, Artificial Intelligence Engineering Engineering, Electrical & Electronic Science & Technology Technology Telecommunications

Learning Motion-Difference Features using Gaussian Restricted Boltzmann Machines for Efficient Human Action Recognition

History

Pagination

Location

Open access

Start date

End date

ISSN

eISSN

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Series

Publication URL

Usage metrics

Categories

Keywords

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