Zobrazeno 1 - 10
of 21
pro vyhledávání: '"KO-CHIH WANG"'
Publikováno v:
IEEE Access, Vol 11, Pp 86544-86560 (2023)
When exploring a 3D medical dataset, data occlusion creates difficulties for users to understand the dataset in detail since many internal structures are occluded. Techniques such as transfer function design, isosurface extraction, etc., have been pr
Externí odkaz:
https://doaj.org/article/968e5eddcda64e13af10e78b67994756
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1595 (2023)
In recent years, natural language processing (NLP) technology has made great progress. Models based on transformers have performed well in various natural language processing problems. However, a natural language task can be carried out by multiple d
Externí odkaz:
https://doaj.org/article/afda09c109c54cdcb3963c9584d1331e
Publikováno v:
Algorithms, Vol 14, Iss 10, p 285 (2021)
The use of distribution-based data representation to handle large-scale scientific datasets is a promising approach. Distribution-based approaches often transform a scientific dataset into many distributions, each of which is calculated from a small
Externí odkaz:
https://doaj.org/article/a1a8a9a1665d44b98f886663075e6240
Publikováno v:
Journal of Information Science & Engineering; Mar2024, Vol. 40 Issue 2, p397-419, 23p
Autor:
Cheng Sun, Ko-Chih Wang
Publikováno v:
IEEE Computer Graphics and Applications. 42:41-52
Cosmologists often build a mathematics simulation model to study the observed universe. However, running a high-fidelity simulation is time consuming and thus can inconvenience the analysis. This is especially so when the analysis involves trying out
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50b5d96072b691e421e2c7ab20f32b60
https://doi.org/10.1109/mcg.2022.3169554
https://doi.org/10.1109/mcg.2022.3169554
Publikováno v:
Journal of Visualization. 25:653-669
Named entity recognition (NER) is a crucial initial task that identifies both spans and types of named entities to extract the specific information, such as organization, person, location, and time. Nowadays, the NER task achieves state-of-the-art pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d72943c6785db07c40228b7383e4e9a
https://doi.org/10.1007/s12650-021-00799-3
https://doi.org/10.1007/s12650-021-00799-3
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 26:3299-3313
The analysis and visualization of data created from simulations on modern supercomputers is a daunting challenge because the incredible compute power of modern supercomputers allow scientists to generate datasets with very high spatial and temporal r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1dbd9447006fd7bc9d75756dd7ec195b
https://doi.org/10.1109/tvcg.2019.2920130
https://doi.org/10.1109/tvcg.2019.2920130
Publikováno v:
Food chemistry. 394
Mislabelling the geographic origin of same-species aquaculture products is difficult to identify. This study applied untargeted small-molecule fingerprinting to discriminating between Atlantic salmon originating from Chile and Norway. The acquired li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b5d61e29ccf388de0d1c5d99f3138e5
https://pubmed.ncbi.nlm.nih.gov/35759841
https://pubmed.ncbi.nlm.nih.gov/35759841
Autor:
Ko-Chih Wang, 王科植
95
EXISTING hand detection approaches based on the Viola-Jones’ methods have two fundamental issues, background noise of training images could generate poor performance and rotation-variant. As hands are non-rigid objects, positive training im
EXISTING hand detection approaches based on the Viola-Jones’ methods have two fundamental issues, background noise of training images could generate poor performance and rotation-variant. As hands are non-rigid objects, positive training im
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/76h8q4
Publikováno v:
Algorithms
Volume 14
Issue 10
Algorithms, Vol 14, Iss 285, p 285 (2021)
Volume 14
Issue 10
Algorithms, Vol 14, Iss 285, p 285 (2021)
The use of distribution-based data representation to handle large-scale scientific datasets is a promising approach. Distribution-based approaches often transform a scientific dataset into many distributions, each of which is calculated from a small
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bf3bcbbab624b310bf6d646494fc139