Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Cunlu Xu"'
Publikováno v:
Mathematics, Vol 10, Iss 14, p 2531 (2022)
Domain discrepancy is a key research problem in the field of deep domain adaptation. Two main strategies are used to reduce the discrepancy: the parametric method and the nonparametric method. Both methods have achieved good results in practical appl
Externí odkaz:
https://doaj.org/article/1968b6f496b247848522888b65501509
Publikováno v:
Frontiers in Chemistry, Vol 7 (2019)
The antioxidant response elements (AREs) play a significant role in occurrence of oxidative stress and may cause multitudinous toxicity effects in the pathogenesis of a variety of diseases. Determining if one compound can activate AREs is crucial for
Externí odkaz:
https://doaj.org/article/d15f0ec819e944a9ad019bcebe7ec845
Autor:
Zhijun Yao, Yuanchao Zhang, Lei Lin, Yuan Zhou, Cunlu Xu, Tianzi Jiang, Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 11, p e1001006 (2010)
Recently, many researchers have used graph theory to study the aberrant brain structures in Alzheimer's disease (AD) and have made great progress. However, the characteristics of the cortical network in Mild Cognitive Impairment (MCI) are still large
Externí odkaz:
https://doaj.org/article/29989d813fa0455faa451130d8f7b8db
Publikováno v:
Displays. 78:102445
Publikováno v:
Analysis and Applications. 19:491-508
Recent studies have revealed that deep networks can learn transferable features that generalize well to novel tasks with little or unavailable labeled data for domain adaptation. However, justifying which components of the feature representations can
Publikováno v:
Frontiers in Chemistry
Frontiers in Chemistry, Vol 7 (2019)
Frontiers in Chemistry, Vol 7 (2019)
The antioxidant response elements (AREs) play a significant role in occurrence of oxidative stress and may cause multitudinous toxicity effects in the pathogenesis of a variety of diseases. Determining if one compound can activate AREs is crucial for
Publikováno v:
CCIS
In this paper, a new domain adaptation learning method is proposed by jointing weighted balanced feature matching and instance reweighting based on kernel extreme learning machine (KELM). Specifically, for the weighted balance feature matching, it ca
Publikováno v:
2016 7th IEEE International Conference on Software Engineering and Service Science (ICSESS).
The deep learning is a growing multi-layer neural network learning algorithm in the field of machine learning in recent years. Firstly, this paper analyzes the superiority of the deep learning at the aspect of feature extraction. Aimed at the lack of
Publikováno v:
2015 4th International Conference on Computer Science and Network Technology (ICCSNT).
Collaborative filtering recommendation is a popular recommendation algorithm in electronic commerce, but the disadvantage of cold start still exists in the reason of new coming users and items. CBR (case-based reasoning) is used to get source case in
Publikováno v:
2012 5th International Congress on Image and Signal Processing.
Based on the research on super-resolution algorithm of neighbor embedding (SRNE), this paper proposes an improved algorithm, namely, super-resolution neighbor embedding with importance weight value (NEIWV) to improve the image resolution. As in deali