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Conference Paper/Proceeding/Abstract 199 views

Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams

Yordanka Karayaneva, Sara Sharifzadeh Orcid Logo, Yanguo Jing, Kevin Chetty, Bo Tan

2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)

Swansea University Author: Sara Sharifzadeh Orcid Logo

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DOI (Published version): 10.1109/icmla.2019.00296

Published in: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
ISBN: 978-1-7281-4551-8 978-1-7281-4550-1
Published: IEEE 2020
URI: https://cronfa.swan.ac.uk/Record/cronfa65604
first_indexed 2024-03-23T15:14:56Z
last_indexed 2024-11-25T14:16:27Z
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spelling 2024-03-23T15:15:00.3013156 v2 65604 2024-02-09 Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams a4e15f304398ecee3f28c7faec69c1b0 0000-0003-4621-2917 Sara Sharifzadeh Sara Sharifzadeh true false 2024-02-09 MACS Conference Paper/Proceeding/Abstract 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA) IEEE 978-1-7281-4551-8 978-1-7281-4550-1 17 2 2020 2020-02-17 10.1109/icmla.2019.00296 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2024-03-23T15:15:00.3013156 2024-02-09T01:16:04.2640333 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Yordanka Karayaneva 1 Sara Sharifzadeh 0000-0003-4621-2917 2 Yanguo Jing 3 Kevin Chetty 4 Bo Tan 5
title Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams
spellingShingle Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams
Sara Sharifzadeh
title_short Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams
title_full Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams
title_fullStr Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams
title_full_unstemmed Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams
title_sort Sparse Feature Extraction for Activity Detection Using Low-Resolution IR Streams
author_id_str_mv a4e15f304398ecee3f28c7faec69c1b0
author_id_fullname_str_mv a4e15f304398ecee3f28c7faec69c1b0_***_Sara Sharifzadeh
author Sara Sharifzadeh
author2 Yordanka Karayaneva
Sara Sharifzadeh
Yanguo Jing
Kevin Chetty
Bo Tan
format Conference Paper/Proceeding/Abstract
container_title 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
publishDate 2020
institution Swansea University
isbn 978-1-7281-4551-8
978-1-7281-4550-1
doi_str_mv 10.1109/icmla.2019.00296
publisher IEEE
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2020-02-17T08:28:04Z
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score 11.047674

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