Zobrazeno 1 - 7
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pro vyhledávání: '"Liang-Chi Huang"'
Autor:
Liang-chi Huang, 黃亮錡
102
The purpose of the present study was to investigate the effects and 6th grade EFL learners’ perceptions of deductive and inductive instruction on the learning of English simple past tense. Two intact classes, 96 participants, were randomly
The purpose of the present study was to investigate the effects and 6th grade EFL learners’ perceptions of deductive and inductive instruction on the learning of English simple past tense. Two intact classes, 96 participants, were randomly
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/37685229130331945931
Autor:
Liang-Chi Huang, 黃良吉
94
It is a thing of the trouble in the strange city to drives, how to efficient reach the destination without getting lost then just use navigation system except for depend on traditional paper map. Navigate system usually use the only sensor (G
It is a thing of the trouble in the strange city to drives, how to efficient reach the destination without getting lost then just use navigation system except for depend on traditional paper map. Navigate system usually use the only sensor (G
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/6tyd6a
Publikováno v:
SAM
Sparse subspace clustering (SSC) using greedy- based neighbor selection, such as matching pursuit (MP) and orthogonal matching pursuit (OMP), has been known as a popular computationally-efficient alternative to the conventional l 1 -minimization base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5464ccb84852c2abaa898c49e03e3e2
https://doi.org/10.1109/sam48682.2020.9104341
https://doi.org/10.1109/sam48682.2020.9104341
Publikováno v:
SAM
Data dimensionality reduction via linear embedding is a typical approach to economizing the computational cost of machine learning systems. In the context of sparse subspace clustering (SSC), this paper proposes a two-step neighbor identification sch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10616dcad6434518d905567d96f057c2
https://doi.org/10.1109/sam48682.2020.9104396
https://doi.org/10.1109/sam48682.2020.9104396
Publikováno v:
ICIP
Built on the sparse representation framework, sparse subspace clustering (SSC) received considerable attention in the recent years. Conventional SSC employs l 1 -minimization based sparse regression for neighbor identification on a sample-by-sample b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c1ab19f483e18eee2cfbca2cb6d4fc7
https://doi.org/10.1109/icip.2019.8803440
https://doi.org/10.1109/icip.2019.8803440
Sparse subspace clustering (SSC) relies on sparse regression for accurate neighbor identification. Inspired by recent progress in compressive sensing, this paper proposes a new sparse regression scheme for SSC via two-step reweighted $\ell _{1} $ -mi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fdf5322cd84634161c3e38c7e91b9f9
Publikováno v:
MLSP
Sparse subspace clustering (SSC) relies on sparse regression for accurate neighbor identification. Inspired by recent progress in compressive sensing (CS), this paper proposes a new sparse regression scheme for SSC via reweighted 1 -minimization,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d57ab866d87b036177ef0caa3e33588
https://doi.org/10.1109/mlsp.2018.8517025
https://doi.org/10.1109/mlsp.2018.8517025