Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Huihua Guan"'
Publikováno v:
Visual Informatics, Vol 4, Iss 3, Pp 12-23 (2020)
In recent years, the technology and applications of visualizations on large high-resolution displays (LHDs) have received widespread attention because of its perceptual benefits and improved productivity. However, existing work on LHD visualization l
Externí odkaz:
https://doaj.org/article/4cc46f7424cd4bd3a7deeef07f2b2b81
Publikováno v:
Visual Informatics, Vol 2, Iss 1, Pp 71-81 (2018)
As the amount of data being collected has increased, the need for tools that can enable the visual exploration of data has also grown. This has led to the development of a variety of widely used programming frameworks for information visualization. U
Externí odkaz:
https://doaj.org/article/5a9cf332e0554d22badefe1174e6578c
Autor:
Ruixian Ma, Fan Zhang, Wenzhuo Dai, Huihua Guan, Chengye Xin, Huang Wei, Honghui Mei, Wei Chen, Xiao Wen
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:3717-3732
Dashboard visualizations are widely used in data-intensive applications such as business intelligence, operation monitoring, and urban planning. However, existing visualization authoring tools are inefficient in the rapid prototyping of dashboards be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::201baaf63c8602c0091afaf85f856495
https://doi.org/10.1109/tvcg.2020.2980227
https://doi.org/10.1109/tvcg.2020.2980227
Publikováno v:
Visual Informatics, Vol 4, Iss 3, Pp 12-23 (2020)
In recent years, the technology and applications of visualizations on large high-resolution displays (LHDs) have received widespread attention because of its perceptual benefits and improved productivity. However, existing work on LHD visualization l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95eefa30b885fbae7cd30723f2b78fd5
https://doi.org/10.1016/j.visinf.2020.07.001
https://doi.org/10.1016/j.visinf.2020.07.001
Autor:
Jia-Kai Chou, Kwan-Liu Ma, Wei Chen, Rusheng Pan, Huihua Guan, Chris Bryan, Wenlong Chen, Xumeng Wang
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 25:193-203
Analyzing social networks reveals the relationships between individuals and groups in the data. However, such analysis can also lead to privacy exposure (whether intentionally or inadvertently): leaking the real-world identity of ostensibly anonymous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfaf76f78a6dd9d6823bd24cc625c770
https://doi.org/10.1109/tvcg.2018.2865021
https://doi.org/10.1109/tvcg.2018.2865021
Publikováno v:
Visual Informatics, Vol 2, Iss 1, Pp 71-81 (2018)
As the amount of data being collected has increased, the need for tools that can enable the visual exploration of data has also grown. This has led to the development of a variety of widely used programming frameworks for information visualization. U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e408dc2ca9554b3066e6b1c3098471aa
http://www.sciencedirect.com/science/article/pii/S2468502X18300147
http://www.sciencedirect.com/science/article/pii/S2468502X18300147
Publikováno v:
ISKE
A new explicit nonlinear dimensionality reduction(DR) method, on account of neural networks, is presented for image retrieval tasks. We first propose a Weighted Locally Linear Embedding (WLLE) for training set, based on which linear relations in neig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7fcff99cdff09d878260b01167d981b
https://doi.org/10.1109/iske47853.2019.9170440
https://doi.org/10.1109/iske47853.2019.9170440
Publikováno v:
IEEE Transactions on Multimedia. 18:2247-2256
Although basketball games have received broad attention, the forms of game reports and webcast are purely content-based cross-media: texts, videos, snapshots, and performance figures. Analytical narrations of games that seek to compose a complete gam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a540508a6bbe2f3b468d33a5fd38bd8d
https://doi.org/10.1109/tmm.2016.2614221
https://doi.org/10.1109/tmm.2016.2614221
© 1995-2012 IEEE. Urban data is massive, heterogeneous, and spatio-temporal, posing a substantial challenge for visualization and analysis. In this paper, we design and implement a novel visual analytics approach, Visual Analyzer for Urban Data (VAU
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85fd5def069574c180ecabb06aafce13
https://hdl.handle.net/10453/131982
https://hdl.handle.net/10453/131982
Publikováno v:
IEEE transactions on visualization and computer graphics. 24(1)
Sharing data for public usage requires sanitization to prevent sensitive information from leaking. Previous studies have presented methods for creating privacy preserving visualizations. However, few of them provide sufficient feedback to users on ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::110357ab97bd34d9f385b307c5f32f42
https://pubmed.ncbi.nlm.nih.gov/28866572
https://pubmed.ncbi.nlm.nih.gov/28866572