Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Manila Kodali"'
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bb2f7e977fec4ed97f94ec704044cfc
https://doi.org/10.1109/icassp49357.2023.10094857
https://doi.org/10.1109/icassp49357.2023.10094857
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deea8e19dcec7836dd990fd951c76ad6
https://doi.org/10.1109/icassp49357.2023.10097160
https://doi.org/10.1109/icassp49357.2023.10097160
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82e53f2718e5bae918344a4a1d89ad4c
https://doi.org/10.1109/icassp49357.2023.10094798
https://doi.org/10.1109/icassp49357.2023.10094798
This work was supported by the Academy of Finland (grant number 313390). The computational resources were provided by Aalto ScienceIT. The present study investigates the use of 1-dimensional (1-D) and 2-dimensional (2-D) spectral feature representati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69f7e380a097b4d3b977dc5c2f1db5b0
https://aaltodoc.aalto.fi/handle/123456789/117686
https://aaltodoc.aalto.fi/handle/123456789/117686
Publikováno v:
PerCom Workshops
Funding Information: The authors appreciate partial funding from the Academy of Finland project ABACUS. Publisher Copyright: © 2021 IEEE. Recent work has demonstrated the use of the radio interface as a sensing modality for gestures, activities and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3701ce526eaea2aa7094856cbff9c123
https://doi.org/10.1109/percomworkshops51409.2021.9431010
https://doi.org/10.1109/percomworkshops51409.2021.9431010
Publikováno v:
2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)
MLSP
MLSP
We address an actively discussed problem in signal processing, recognizing patterns from spatial data in motion. In particular, we suggest a neural network architecture to recognize motion patterns from 4D point clouds. We demonstrate the feasibility
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b231f8336cac8eba4bde323966b6bd4b
https://aaltodoc.aalto.fi/handle/123456789/101578
https://aaltodoc.aalto.fi/handle/123456789/101578