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Competitive intelligence study on Macau food and beverage industry Conference paper
Ida Ip, Simon Fong, Yan Zhuang, Raymond Wong. Competitive intelligence study on Macau food and beverage industry[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2017, 170-174.
Authors:  Ida Ip;  Simon Fong;  Yan Zhuang;  Raymond Wong
Favorite | TC[WOS]:1 TC[Scopus]:3 | Submit date：2019/02/13
Competitive Intelligence  Computer Technologies  Business Strategy  Decision Making  Food And Beverage  
Noise-robust SLIC superpixel for natural images Conference paper
Li Dong, Jiantao Zhou. Noise-robust SLIC superpixel for natural images[C], 2017, 335-340.
Authors:  Li Dong;  Jiantao Zhou
Adobe PDF | Favorite | TC[WOS]:4 TC[Scopus]:1 | Submit date：2018/12/22
Noise  Robust  Slic  Superpixel  
Breaking the Top-κ Restriction of the kNN Hidden Databases Conference paper
Honglin Li, Zhiguo Gong. Breaking the Top-κ Restriction of the kNN Hidden Databases[C], 2017, 302-307.
Authors:  Honglin Li;  Zhiguo Gong
Favorite | TC[Scopus]:0 | Submit date：2019/02/12
Transfer learning for face identification with deep face model Conference paper
Yu H., Luo Z., Tang Y.. Transfer learning for face identification with deep face model[C], 2017, 13-18.
Authors:  Yu H.;  Luo Z.;  Tang Y.
Favorite | TC[WOS]:3 TC[Scopus]:9 | Submit date：2019/02/11
Deep Learning  Discrimination  Face Recognition  Invariance  Transfer Learning  
An efficient distributed clustering protocol based on game-theory for wireless sensor networks Conference paper
Wu X., Tang Y.Y., Fang B., Zeng X.. An efficient distributed clustering protocol based on game-theory for wireless sensor networks[C], 2017, 289-294.
Authors:  Wu X.;  Tang Y.Y.;  Fang B.;  Zeng X.
Favorite | TC[WOS]:4 TC[Scopus]:9 | Submit date：2019/02/11
Super resolution reconstruction of brain MR image based on convolution sparse network Conference paper
Liu C., Wu X., Tang Y.Y., Yu X., Zhao W., Zhang L.. Super resolution reconstruction of brain MR image based on convolution sparse network[C], 2017, 275-278.
Authors:  Liu C.;  Wu X.;  Tang Y.Y.;  Yu X.;  Zhao W.; et al.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date：2019/02/11
Convolution Neural Network  Magnetic Resonance Image  Super Resolution Reconstruction  
Minimum description length principle based atomic norm for synthetic low-rank matrix recovery Conference paper
Qin A., Shang Z., Zhang T., Ding Y., Tang Y.Y.. Minimum description length principle based atomic norm for synthetic low-rank matrix recovery[C], 2017, 7-12.
Authors:  Qin A.;  Shang Z.;  Zhang T.;  Ding Y.;  Tang Y.Y.
Favorite | TC[WOS]:2 TC[Scopus]:1 | Submit date：2019/02/11
Synthetic data generator for classification rules learning Conference paper
Liu R., Fang B., Tang Y.Y., Chan P.P.K.. Synthetic data generator for classification rules learning[C], 2017, 357-361.
Authors:  Liu R.;  Fang B.;  Tang Y.Y.;  Chan P.P.K.
Favorite | TC[WOS]:5 TC[Scopus]:7 | Submit date：2019/02/11
Automatic Decision Support  Data Mining  Decision Tree  Synthetic Data  
Learning the distribution of data for embedding Conference paper
Shen Y., Ren P., Zhang T., Tang Y.Y.. Learning the distribution of data for embedding[C], 2017, 46-51.
Authors:  Shen Y.;  Ren P.;  Zhang T.;  Tang Y.Y.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/02/11
Dimensionality Reduction  Distribution Preserving Embedding  Kernel Density Estimation  
Classification of Parkinson's disease and essential tremor based on structural MRI Conference paper
Zhang L., Liu C., Zhang X., Tang Y.Y.. Classification of Parkinson's disease and essential tremor based on structural MRI[C], 2017, 353-356.
Authors:  Zhang L.;  Liu C.;  Zhang X.;  Tang Y.Y.
Favorite | TC[WOS]:8 TC[Scopus]:11 | Submit date：2019/02/11
Classification  Essential Tremor  Machine Learning  Parkinson's Disease  Structural Mri