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Parallel ensemble learning of convolutional neural networks and local binary patterns for face recognition Journal article
Computer Methods and Programs in Biomedicine, 2020,Volume: 197
Authors:  Tang,Jialin;  Su,Qinglang;  Su,Binghua;  Fong,Simon;  Cao,Wei;  Gong,Xueyuan
Favorite |  | TC[WOS]:1 TC[Scopus]:2 | Submit date:2021/03/09
Convolutional Neural Networks (CNN)  Ensemble learning  Face recognition  Local Binary Patterns (LBP)  
Bayesian model selection for sand with generalization ability evaluation Journal article
International Journal for Numerical and Analytical Methods in Geomechanics, 2019,Volume: 43,Issue: 14,Page: 2305-2327
Authors:  Jin,Yin Fu;  Yin,Zhen Yu;  Zhou,Wan Huan;  Shao,Jian Fu
Favorite |  | TC[WOS]:16 TC[Scopus]:18 | Submit date:2021/03/11
Bayesian theory  constitutive relation  critical state  generalization ability  sand  transitional Markov chain Monte Carlo  
An Integrated Transfer Learning and Multitask Learning Approach for Pharmacokinetic Parameter Prediction Journal article
Molecular Pharmaceutics, 2019,Volume: 16,Issue: 2,Page: 533-541
Authors:  Ye Z.;  Yang Y.;  Li X.;  Cao D.;  Ouyang D.
Favorite |  | TC[WOS]:10 TC[Scopus]:16 | Submit date:2019/02/14
Adme  Deep Learning  Multitask Learning  Pharmacokinetic Parameters  Transfer Learning  
RGB-‘D’ Saliency Detection With Pseudo Depth Journal article
IEEE Transactions on Image Processing, 2018,Volume: 28,Issue: 5,Page: 2126 - 2139
Authors:  Xiaolin Xiao;  Yicong Zhou;  Yue-Jiao Gong
Favorite |  | TC[WOS]:5 TC[Scopus]:7 | Submit date:2019/03/26
Rgb-‘d’ Saliency  Pseudo Depth  Salient Object Detection  
Learning With Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan;  Han, Hua
Favorite |  | TC[WOS]:1 TC[Scopus]:2 | Submit date:2018/10/30
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
Learning with Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li L.;  Li W.;  Zou B.;  Wang Y.;  Tang Y.Y.;  Han H.
Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date:2019/02/11
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)  
p-Laplacian Regularization for Indoor Scene Recognition Journal article
IEEE Transactions on Cybernetics, 2018,Page: 1 - 14
Authors:  Weifeng Liu;  Xueqi Ma;  Yicong Zhou;  Dapeng Tao;  Jun Cheng
Favorite |  | TC[WOS]:0 TC[Scopus]:35 | Submit date:2019/03/26
Laplacian Regularization (Lapr)  Manifold Learning  P-laplacian  Scene Recognition  Semi-supervised Learning (Ssl)  
A Fuzzy Restricted Boltzmann Machine: Novel Learning Algorithms Based on the Crisp Possibilistic Mean Value of Fuzzy Numbers Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 1,Page: 117-130
Authors:  Feng, Shuang;  Chen, C. L. Philip
Favorite |  | TC[WOS]:26 TC[Scopus]:32 | Submit date:2018/10/30
Crisp possibilistic mean value  fuzzy number  fuzzy restricted Boltzmann machine (FRBM)  learning algorithm  
An Image Augmentation Method for Quality Assessment Database Conference paper
2018 IEEE International Symposium on Circuits and Systems (ISCAS), Florence, Italy, 27-30 May 2018
Authors:  Yucheng Zhu;  Guangtao Zhai;  Wenhan Zhu;  Jiantao Zhou
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/04/17
Image Quality Assessment ( Iqa )  No-reference  Image Augmentation  Generalization Capability  
Model development and surface analysis of a bio-chemical process Journal article
Chemometrics and Intelligent Laboratory Systems, 2016,Volume: 157,Page: 133-139
Authors:  Jiang D.;  Zhou W.-H.;  Garg A.;  Garg A.
Favorite |  | TC[WOS]:3 TC[Scopus]:2 | Submit date:2018/12/21
Biochemical  Cross-validation  Genetic Programming  Lead Removal  Phytoremediation  Statistical Modelling