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Unified Cross-domain Classification via Geometric and Statistical Adaptations Journal article
Weifeng Liu, Jinfeng Li, Baodi Liu, Weili Guan, Yicong Zhou, Changsheng Xu. Unified Cross-domain Classification via Geometric and Statistical Adaptations[J]. Pattern Recognition, 2021, 110, 107658.
Authors:  Weifeng Liu;  Jinfeng Li;  Baodi Liu;  Weili Guan;  Yicong Zhou; et al.
Favorite | TC[WOS]:24 TC[Scopus]:26  IF:7.5/7.6 | Submit date：2021/12/07
Domain Adaptation  Geometric Adaptation  Maximum Mean Discrepancy (Mmd)  Nyström Method  Statistical Adaptation  
Data selection via semi-supervised recursive autoencoders for SMT domain adaptation Conference paper
Lu Y., Wong D.F., Chao L.S., Wang L.. Data selection via semi-supervised recursive autoencoders for SMT domain adaptation[C], 2014, 13-23.
Authors:  Lu Y.;  Wong D.F.;  Chao L.S.;  Wang L.
Favorite | TC[WOS]:2 TC[Scopus]:1 | Submit date：2018/12/24
Data Selection  Domain Adaptation  Recursive Autoencoders  Semi-supervise  Statistical Machine Translation  
iCPE: A hybrid data selection model for SMT domain adaptation Conference paper
Wang L., Wong D.F., Chao L.S., Lu Y., Xing J.. iCPE: A hybrid data selection model for SMT domain adaptation[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2013, 280-290.
Authors:  Wang L.;  Wong D.F.;  Chao L.S.;  Lu Y.;  Xing J.
Favorite | TC[WOS]:1 TC[Scopus]:4 | Submit date：2018/12/24
Data Selection  Domain Adaptation  Hybrid Model  Similarity Metrics  Statistical Machine Translation