Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Dongyun Yi"'
Publikováno v:
IEEE Access, Vol 8, Pp 99820-99831 (2020)
Traditional multi-view learning usually assumes each instance appears in all views. However, in real-world applications, it is not an uncommon case that a number of instances suffer from some view samples missing. How to effectively cluster this kind
Externí odkaz:
https://doaj.org/article/8d914582de014ada9d3aa4dc328e38f0
Publikováno v:
Mathematics, Vol 8, Iss 7, p 1126 (2020)
Determining states of the market and scientific laws of transfer between these states is an important subject in the field of financial mathematics. According to the results of market situation estimation, formulating corresponding trading strategies
Externí odkaz:
https://doaj.org/article/96efe31c2c034bfd921f58f041a93dfa
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0176769 (2017)
In many computer vision and machine learning applications, the data sets distribute on certain low-dimensional subspaces. Subspace clustering is a powerful technology to find the underlying subspaces and cluster data points correctly. However, tradit
Externí odkaz:
https://doaj.org/article/7e345f18526e48c19218c3e60a2b0b70
Publikováno v:
Applied Sciences, Vol 9, Iss 20, p 4472 (2019)
Simultaneous outbreaks of contagion are a great threat against human life, resulting in great panic in society. It is urgent for us to find an efficient multiple sources localization method with the aim of studying its pathogenic mechanism and minimi
Externí odkaz:
https://doaj.org/article/ea07443970874b66896399dddac971af
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3644 (2019)
Epidemic source localization is one of the most meaningful areas of research in complex networks, which helps solve the problem of infectious disease spread. Limited by incomplete information of nodes and inevitable randomness of the spread process,
Externí odkaz:
https://doaj.org/article/98c9826eb4c14b3d91f54cee27bb93b9
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3758 (2019)
Locating the source that undergoes a diffusion-like process is a fundamental and challenging problem in complex network, which can help inhibit the outbreak of epidemics among humans, suppress the spread of rumors on the Internet, prevent cascading f
Externí odkaz:
https://doaj.org/article/e5bbd96c4b99459fb9f8a7c5d750ea52
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0164393 (2016)
It is a crucial and fundamental issue to identify a small subset of influential spreaders that can control the spreading process in networks. In previous studies, a degree-based heuristic called DegreeDiscount has been shown to effectively identify m
Externí odkaz:
https://doaj.org/article/c3a5344e06c74f679aaee50427f5dbcc
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 11 (2015)
Recent years, the studies of link prediction have been overwhelmingly emphasizing on undirected networks. Compared with it, how to identify missing and spurious interactions in directed networks has received less attention and still is not well under
Externí odkaz:
https://doaj.org/article/47cf138affb14598b42dfcd5267376de
Publikováno v:
PLoS ONE, Vol 10, Iss 3, p e0120687 (2015)
Citation between papers can be treated as a causal relationship. In addition, some citation networks have a number of similarities to the causal networks in network cosmology, e.g., the similar in-and out-degree distributions. Hence, it is possible t
Externí odkaz:
https://doaj.org/article/4b90340338054fabb15b2fb03cc42389
Publikováno v:
Sensors, Vol 16, Iss 10, p 1669 (2016)
The low frequency errors (LFE) of star trackers are the most penalizing errors for high-accuracy satellite attitude determination. Two test star trackers- have been mounted on the Space Technology Experiment and Climate Exploration (STECE) satellite,
Externí odkaz:
https://doaj.org/article/fecb997beade4af9a6f0e83e2394870e