Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jaeyeon Kihm"'
Publikováno v:
ISPASS
The advent of high speed input sensor and display technologies and the drive for faster interactive response suggests that human-computer interaction (HCI) task processing deadlines of a few milliseconds or less may be required in future handheld dev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82da4d27af0d206f09949e068ccc222d
https://doi.org/10.1109/ispass.2017.7975289
https://doi.org/10.1109/ispass.2017.7975289
Publikováno v:
Computer Graphics Forum. 31:1155-1164
Clustering plays an important role in many large-scale data analyses providing users with an overall understanding of their data. Nonetheless, clustering is not an easy task due to noisy features and outliers existing in the data, and thus the cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bac139c7d2375d7cd5d2502a363d509d
https://doi.org/10.1111/j.1467-8659.2012.03108.x
https://doi.org/10.1111/j.1467-8659.2012.03108.x
Publikováno v:
CHI
Low power "helper" cores have been increasingly included on application processors to accomplish low intensity tasks such as music playing and motion sensing with minimum energy consumption. Recently, Guimbretiere et al. [1] demonstrated that such he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db12534548ed0509f6dfd66d0796b390
https://doi.org/10.1145/2556288.2557135
https://doi.org/10.1145/2556288.2557135
Autor:
François Guimbretière, Jaeyeon Kihm
Publikováno v:
UIST (Adjunct Volume)
In recent years, advances in hardware design have lead to significant improvements in the battery life of everyday information appliances. In particular, application processors increasingly include low power "helper" cores dedicated to simpler tasks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58498c1ac4e1a270e7827fa387f279a8
https://doi.org/10.1145/2508468.2514728
https://doi.org/10.1145/2508468.2514728
Publikováno v:
IEEE transactions on visualization and computer graphics. 19(10)
Investigators across many disciplines and organizations must sift through large collections of text documents to understand and piece together information. Whether they are fighting crime, curing diseases, deciding what car to buy, or researching a n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e57d5762afa00eb0d37a665a56482fa
https://pubmed.ncbi.nlm.nih.gov/23267206
https://pubmed.ncbi.nlm.nih.gov/23267206
Autor:
Jaegul Choo, Jaeeun Shim, Jaeyeon Kihm, John Stasko, Hanseung Lee, Zhicheng Liu, Haesun Park, Carsten Görg
Publikováno v:
IEEE VAST
Our visual analytics tool GeneTracer, developed for the VAST 2010 genetic sequence mini challenge, visualizes gene sequences of current outbreaks and native sequences along with disease characteristics. We successfully used GeneTracer in combination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38f9137404eb89b34dd8e61d0e9eabfb
https://doi.org/10.1109/vast.2010.5651434
https://doi.org/10.1109/vast.2010.5651434
Autor:
Haesun Park, Hanseung Lee, Carsten Görg, Jaegul Choo, Zhicheng Liu, Jaeyeon Kihm, John Stasko
Publikováno v:
IEEE VAST
This article describes the sense-making process we applied to solve the VAST 2010 Mini Challenge 1 using the visual analytics system Jigsaw. We focus on Jigsaw's data ingest and evidence marshalling features and discuss how they are beneficial for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8b027d21cd98bcacf4b3652cafc95ec
https://doi.org/10.1109/vast.2010.5653042
https://doi.org/10.1109/vast.2010.5653042
Publikováno v:
IEEE VAST
We present an interactive visual analytics system for classification, iVisClassifier, based on a supervised dimension reduction method, linear discriminant analysis (LDA). Given high-dimensional data and associated cluster labels, LDA gives their red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db7689da735876d646d27aefce992bbb
https://doi.org/10.1109/vast.2010.5652443
https://doi.org/10.1109/vast.2010.5652443
Publikováno v:
2010 IEEE Symposium on Visual Analytics Science & Technology (VAST); 2010, p27-34, 8p
Publikováno v:
2010 IEEE Symposium on Visual Analytics Science & Technology (VAST); 2010, p271-272, 2p