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Ensemble learning-based structural health monitoring by Mahalanobis distance metrics Journal article
Structural Control and Health Monitoring, 2021,Volume: 28,Issue: 2
Authors:  Sarmadi,Hassan;  Entezami,Alireza;  Saeedi Razavi,Behzad;  Yuen,Ka Veng
Favorite |  | TC[WOS]:4 TC[Scopus]:9 | Submit date:2021/03/09
Damage detection  ensemble learning  environmental variability  Mahalanobis distance  structural health monitoring  unsupervised learning  
A nonparametric model for online topic discovery with word embeddings Journal article
Information Sciences, 2019,Volume: 504,Page: 32-47
Authors:  Chen,Junyang;  Gong,Zhiguo;  Liu,Weiwen
Favorite |  | TC[WOS]:7 TC[Scopus]:11 | Submit date:2021/03/09
Clustering  Data mining  Nonparametric model  Online topic discovery  Topic model  Word embeddings  
Nonparametric Bayesian Correlated Group Regression with Applications to Image Classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Volume: 29,Issue: 11,Page: 5330-5344
Authors:  Luo L.;  Yang J.;  Zhang B.;  Jiang J.;  Huang H.
Favorite |  | TC[WOS]:7 TC[Scopus]:11 | Submit date:2019/04/04
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Nonparametric Bayesian Correlated Group Regression With Applications to Image Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 11,Page: 5330-5344
Authors:  Luo, Lei;  Yang, Jian;  Zhang, Bob;  Jiang, Jielin;  Huang, Heng
Favorite |  | TC[WOS]:7 TC[Scopus]:11 | Submit date:2019/01/17
Correlated group regression  expectation-maximization (EM)  robust image classification  scale mixture of matrix Gaussian distribution  sparse Bayesian learning (SBL)  
Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework Journal article
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017,Volume: 10,Issue: 5,Page: 1987-2001
Authors:  Luo, Huiwu;  Tang, Yuan Yan;  Wang, Yulong;  Wang, Jianzhong;  Biuk-Aghai, Robert P.;  Pan, Jianjia;  Liu, Runzong;  Yang, Lina
Favorite |  | TC[WOS]:6 TC[Scopus]:6 | Submit date:2018/10/30
1-d Manifold Embedding (1dme)  Hyperspectral Image (Hsi) Classification  Metric Learning  Smooth Ordering  
Hyperspectral image classification using distance metric based 1-dimensional manifold embedding Conference paper
Proceedings of the 2016 International Conference on Wavelet Analysis and Pattern Recognition, Jeju, 10-13 July 2016
Authors:  HUI-WU LUO;  YU-LONG WANG;  YUAN YAN TANG;  CHUN-LI LI;  JIAN-ZHONG WANG
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Classification  Feature Extraction  High Dimensional Data Analysis  Manifold Learning  Remote Sensing  
A Univariate Statistical Parameter Assessing Effect Size for Multivariate Responses Conference paper
Session STS094, Hong Kong, 25-30 August 2013
Authors:  Xiaohua Douglas Zhang
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/01/29
Dimension-adjusted Squared Mahalanobis Distance  Dimension-adjusted Mahalanobis Distance  Strictly Standardized Mean Difference  D++ -probability  Effect Size  
Modeling Unobserved Heterogeneity Using Latent Profile Analysis: A Monte Carlo Simulation Journal article
Structural Equation Modeling, 2013,Volume: 20,Issue: 4,Page: 616
Authors:  Peugh J.;  Fan X.
Favorite |  | TC[WOS]:150 TC[Scopus]:104 | Submit date:2018/10/30
cross-sectional heterogeneity  latent class analysis  latent profile analysis  Monte Carlo simulation  numeration indexes  population heterogeneity  
Improved class statistics estimation for sparse data problems in offline signature verification Journal article
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, 2005,Volume: 35,Issue: 3,Page: 276-286
Authors:  Fang B.;  Tang Y.Y.
Favorite |  | TC[WOS]:18 TC[Scopus]:24 | Submit date:2019/02/11
Elastic matching  Limited training data  Matrix regularization  Offline system  Signature verification  
Rotation-invariant texture classification using a two-stage wavelet packet feature approach Conference paper
IEE Proceedings: Vision, Image and Signal Processing
Authors:  Pun C.-M.;  Lee M.-C.
Favorite |  | TC[WOS]:8 TC[Scopus]:11 | Submit date:2019/02/14