Semi-Supervised Dimensionality Reduction with Pairwise Constraints Using Graph Embedding for Face Analysis

Author(s):  
Na Wang ◽  
Xia Li ◽  
Yingjie Cui
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 75748-75766 ◽  
Author(s):  
Jianping Gou ◽  
Zhang Yi ◽  
David Zhang ◽  
Yongzhao Zhan ◽  
Xiangjun Shen ◽  
...  

2020 ◽  
Vol 144 ◽  
pp. 113079 ◽  
Author(s):  
Jianping Gou ◽  
Yuanyuan Yang ◽  
Zhang Yi ◽  
Jiancheng Lv ◽  
Qirong Mao ◽  
...  

2015 ◽  
Vol 4 (2) ◽  
pp. 336
Author(s):  
Alaa Najim

<p><span lang="EN-GB">Using dimensionality reduction idea to visualize graph data sets can preserve the properties of the original space and reveal the underlying information shared among data points. Continuity Trustworthy Graph Embedding (CTGE) is new method we have introduced in this paper to improve the faithfulness of the graph visualization. We will use CTGE in graph field to find new understandable representation to be more easy to analyze and study. Several experiments on real graph data sets are applied to test the effectiveness and efficiency of the proposed method, which showed CTGE generates highly faithfulness graph representation when compared its representation with other methods.</span></p>


2020 ◽  
Vol 98 ◽  
pp. 107023 ◽  
Author(s):  
Xiang-Jun Shen ◽  
Si-Xing Liu ◽  
Bing-Kun Bao ◽  
Chun-Hong Pan ◽  
Zheng-Jun Zha ◽  
...  

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