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Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory Journal article
Zhou, Jianhang, Li, Shuyi, Zeng, Shaoning, Zhang, Bob. Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Authors:  ; et al.
Favorite | TC[WOS]:1 TC[Scopus]:0  IF:5.3/5.7 | Submit date:2024/05/16
Adaptation Models  Bayes Methods  Computational Intelligence  Computational Intelligence  Graph Theory  Nuclear Magnetic Resonance  Nuclear-norm Matrix Regression  Probabilistic Logic  Probability Theory  Random Graph  Structural Information  Training  
Joint Adversarial Domain Adaptation With Structural Graph Alignment Journal article
Wang, Mengzhu, Chen, Junyang, Wang, Ye, Wang, Shanshan, Li, Lin, Su, Hao, Gong, Zhiguo, Wu, Kaishun, Chen, Zhenghan. Joint Adversarial Domain Adaptation With Structural Graph Alignment[J]. IEEE Transactions on Network Science and Engineering, 2024, 11(1), 604-612.
Authors:  Wang, Mengzhu;  Chen, Junyang;  Wang, Ye;  Wang, Shanshan;  Li, Lin; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:6.7/6.0 | Submit date:2024/02/22
Conditional Distribution  Joint Adversarial Domain Adaptation  Joint Distribution  Marginal Distribution  Structural Graph Alignment  
A structure-parameter-adaptive (SPA) neural tree for the recognition of large character set Journal article
Li T., Tang Y.Y., Fang L.Y.. A structure-parameter-adaptive (SPA) neural tree for the recognition of large character set[J]. Pattern Recognition, 1995, 28(3), 315-329.
Authors:  Li T.;  Tang Y.Y.;  Fang L.Y.
Favorite | TC[WOS]:20 TC[Scopus]:24 | Submit date:2019/02/11
Hierarchical Classification  Neural Tree  Parametric Adaptation  Recognition Of Large Character Set  Structural Adaptation