Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Duc Thien Nguyen"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 5, Pp 1073-1088 (2024)
This paper introduces a novel kernel regression framework for data imputation, coined multilinear kernel regression and imputation via the manifold assumption (MultiL-KRIM). Motivated by manifold learning, MultiL-KRIM models data features as a point-
Externí odkaz:
https://doaj.org/article/434b2a08b52b4809bae4bb80d0d5ed60
Autor:
Thanh Toan Vo, Kha To, Thanh Nghia Dang, Toan Phuc Vo, Duc Thien Nguyen, Duc Cong Nguyen, Manh Khanh Nguyen, Van Thai Nguyen
Publikováno v:
Case Reports in Oncology, Vol 16, Iss 1, Pp 1237-1244 (2023)
Melorheostosis is a rare benign bone pathology involving bone dysplasia and hyperostosis. The disease can be recognized with a characteristic radiographic feature of radiopaque lesions dripping along a long bone’s diaphysis. The aberrant bone forma
Externí odkaz:
https://doaj.org/article/d98c2bc95c514fce9cc644ce6e6560ce
This paper introduces an efficient multi-linear non- parametric (kernel-based) approximation framework for data regression and imputation, and its application to dynamic magnetic-resonance imaging (dMRI). Data features are assumed to reside in or clo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d05a2b889cb36b44175de789428076e
Publikováno v:
Journal of Science, Quy Nhon University. 14:69-78
In the context of the recent climate change, flooding has been causing serious damages to the human lives and their properties in the world in general, Vietnam in particular, including Binh Dinh province. Therefore, it is pivotal for local government
Publikováno v:
IEEE Transactions on Learning Technologies. 13(1):91-106
With the wide spread of large-scale e-learning environments such as MOOCs, peer assessment has been popularly used to measure learner ability. When the number of learners increases, peer assessment is often conducted by dividing learners into multipl
Publikováno v:
AAAI
We address the problem of maritime traffic management in busy waterways to increase the safety of navigation by reducing congestion. We model maritime traffic as a large multiagent systems with individual vessels as agents, and VTS authority as the r
Publikováno v:
Journal of Artificial Intelligence Research. 64:705-748
Researchers have used distributed constraint optimization problems (DCOPs) to model various multi-agent coordination and resource allocation problems. Very recently, Ottens et al. proposed a promising new approach to solve DCOPs that is based on conf
Publikováno v:
CDC
Crowdsourcing has emerged as an effective means for performing a number of machine learning tasks such as annotation and labelling of images and other data sets. In most early settings of crowdsourcing, the task involved classification, that is assig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e2f1ec5103d81956223b30e8ff465b4
Akademický článek
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Publikováno v:
IJCAI
Urban law enforcement agencies are under great pressure to respond to emergency incidents effectively while operating within restricted budgets. Minutes saved on emergency response times can save lives and catch criminals, and a responsive police for