Zobrazeno 1 - 10
of 333
pro vyhledávání: '"Guangcan Liu"'
Autor:
Guangcan Liu, Wayne Zhang
Publikováno v:
IEEE Transactions on Information Theory. 69:650-665
This paper studies the problem of time series forecasting (TSF) from the perspective of compressed sensing. First of all, we convert TSF into a more inclusive problem called tensor completion with arbitrary sampling (TCAS), which is to restore a tens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d06d71ff1ba763d17c54118ea425b681
https://doi.org/10.1109/tit.2022.3196707
https://doi.org/10.1109/tit.2022.3196707
Publikováno v:
IEEE Transactions on Image Processing. 32:496-508
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c82c1d0bd21eb7a5a3df017c6a01a50b
https://doi.org/10.1109/tip.2022.3230249
https://doi.org/10.1109/tip.2022.3230249
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:6741-6752
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::335062582483de209f589285936f2e1e
https://doi.org/10.1109/tcsvt.2022.3169469
https://doi.org/10.1109/tcsvt.2022.3169469
Publikováno v:
Neurocomputing. 500:592-603
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e677cfe020369dfc681b0f271990dde
https://doi.org/10.1016/j.neucom.2022.05.069
https://doi.org/10.1016/j.neucom.2022.05.069
Publikováno v:
Neural Processing Letters.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39bd26a14fe0bfbd8dd43da14c94e65a
https://doi.org/10.1007/s11063-023-11271-8
https://doi.org/10.1007/s11063-023-11271-8
Autor:
Guangcan Liu
Publikováno v:
IEEE Transactions on Information Theory. 68:3362-3380
Recently, Liu and Zhang studied the rather challenging problem of time series forecasting from the perspective of compressed sensing. They proposed a no-learning method, named Convolution Nuclear Norm Minimization (CNNM), and proved that CNNM can exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f9ce609992398ff1acbc2e26593f57e
https://doi.org/10.1109/tit.2022.3144605
https://doi.org/10.1109/tit.2022.3144605
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-10
This article proposes a deep learning model to predict tropical cyclogenesis (TCG) from gridded satellite and ERA5 reanalysis data in the western North Pacific basin. The proposed model contains two modules. First, convolutional neural network (CNN)-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bea98a36f5aa41ede6e0870572b5901f
https://doi.org/10.1109/tgrs.2021.3069217
https://doi.org/10.1109/tgrs.2021.3069217
Publikováno v:
The Visual Computer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc166e427d5351d9579f2cc0d6d0a043
https://doi.org/10.1007/s00371-022-02767-w
https://doi.org/10.1007/s00371-022-02767-w
Publikováno v:
Neurocomputing. 463:554-565
The existing algorithms for sparse coding, which aim to seek sparse representation for given multi-dimensional signal, suffer from two main defects. Vector-based algorithms, e.g., LISTA, couldn’t handle the signal in tensor form well. On the other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb93ec57cb2ab6fa19d04acbfe6dcd8d
https://doi.org/10.1016/j.neucom.2021.08.024
https://doi.org/10.1016/j.neucom.2021.08.024
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
Human action recognition (HAR) is one of most important tasks in video analysis. Since video clips distributed on networks are usually untrimmed, it is required to accurately segment a given untrimmed video into a set of action segments for HAR. As a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e911ede20644f6f9e0bbfb668ec2623f
https://pubmed.ncbi.nlm.nih.gov/36459602
https://pubmed.ncbi.nlm.nih.gov/36459602