Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hyunjoon Jo"'
Publikováno v:
ACM Multimedia
Analyzing web content, particularly multimedia content, for security applications is of great interest. However, it often requires deep expertise in data analytics that is not always accessible to non-experts. Our approach is to use scientific workfl
Publikováno v:
ICIP
Motion and image analysis are both important for robust solutions to video search of activities; the physics-based, data-driven Hamiltonian Monte Carlo (HMC), a Markov chain Monte Carlo variant that is efficient in searching large dimensional spaces,
Publikováno v:
Postdoc Journal.
Crowd analysis is a popular topic in computer vision, with important applications to video surveillance, social media analysis, and multimedia retrieval, to name just a few areas. In this paper, we review some of the physics-based methods for group a
Publikováno v:
SC Companion
In this paper, we demonstrate the ability to reuse workflow fragments in different data domains: from text analytics to image analysis to video activity recognition. We highlight how the re-use of workflows allows scientists to link across discipline
Publikováno v:
WORKS@SC
The demand for advanced skills in data analysis spans many areas of science, computing, and business analytics. This paper discusses how non-expert users reuse workflows created by experts and representing complex data mining processes for text analy
Autor:
Sanghyun Paek, Kimin Lim, Kwangseok Do, Hyeju Choi, Sojin Park, Hyunjoon Jo, Hyejeong Lee, Janggeun Shim, Jaejung Ko
Publikováno v:
ECS Meeting Abstracts. :593-593
Increasing global warming is recognized as the most critical issues encountered in this century. Therefore research target at solar energy harvesting is currently under extensive investigation. One promising technology would be organic solar cell, wh