Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Jian-Huang Lai"'
Publikováno v:
IEEE Access, Vol 7, Pp 19550-19563 (2019)
Optional course selection is a critical activity for college students due to a large number of available but unfamiliar optional courses. Improper selection of optional courses would seriously affect the students' optional course achievements, which
Externí odkaz:
https://doaj.org/article/cba27348f2344b208305f5c3ec5aaeaf
Publikováno v:
IEEE Access, Vol 7, Pp 56457-56468 (2019)
Recently, the low-dimensional embedding of nodes has received a large amount of attention in the field of network analysis. While the existing methods mostly focus on the network embedding of the entire network, there are also some situations, where
Externí odkaz:
https://doaj.org/article/3f01855d4922457f94cde4040bf1587c
Publikováno v:
IEEE Access, Vol 7, Pp 156752-156763 (2019)
Person re-identification (Re-ID), which is for matching pedestrians across disjoint camera views in surveillance, has made great progress in supervised learning. However, requirement of a large number of labelled identities leads to high cost for lar
Externí odkaz:
https://doaj.org/article/04762598ae724392b10fb198953dc61d
Publikováno v:
IEEE Access, Vol 6, Pp 47707-47716 (2018)
Network community detection with higher-order features has become a hot research topic recently since higher-order features that are captured at the level of small network subgraphs can help to gain new insights into the higher-order organizations of
Externí odkaz:
https://doaj.org/article/7d078c8d7ca84025987f34969b00de66
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0147944 (2016)
The user-based collaborative filtering (CF) algorithm is one of the most popular approaches for making recommendation. Despite its success, the traditional user-based CF algorithm suffers one serious problem that it only measures the influence betwee
Externí odkaz:
https://doaj.org/article/a5d3c520045b46ec853d7592dfdf6b83
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 35:5076-5090
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:973-986
Most existing multiview clustering methods are based on the original feature space. However, the feature redundancy and noise in the original feature space limit their clustering performance. Aiming at addressing this problem, some multiview clusteri
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-11
Publikováno v:
IEEE Transactions on Cybernetics. :1-13
Publikováno v:
The Journal of Supercomputing. 79:8322-8339