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Quaternion-based multiscale analysis for feature extraction of hyperspectral images Journal article
IEEE Transactions on Signal Processing, 2019,Volume: 67,Issue: 6,Page: 1418-1430
Authors:  Li H.;  Li H.;  Zhang L.
Favorite  |  View/Download:1/0  |  Submit date:2019/04/04
Feature extraction  multiscale feature histograms  principal component analysis (PCA)  quaternion Weber local descriptor (QWLD)  
Two-dimensional Quaternion PCA and Sparse PCA Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2018,Page: 1 - 15
Authors:  Xiaolin Xiao;  Yicong Zhou
Favorite  |  View/Download:6/0  |  Submit date:2019/03/26
2d-principle Component Analysis (2d-pca)  2d-quaternion Pca (2d-qPca)  2d-quaternion Sparse Pca (2d-qsPca)  Color Face Recognition  Feature Extraction  Partial Occlusions  Qpca  
Flavonoids in natural and tissue cultured materials of Epimedium alpinum identified by using UHPLC-Q-TOF-MS/MS Journal article
International Journal of Mass Spectrometry, 2018,Volume: 434,Page: 222-232
Authors:  Pilepic K.H.;  Yang Z.;  Chen J.;  Chen X.;  Wang Y.;  Zhao J.;  Mihaljevic S.;  Li S.P.
Favorite  |  View/Download:15/0  |  Submit date:2018/11/06
Epimedium alpinum L.  PCA  Prenylated flavonoids glucosides  Structural characterization  UHPLC-Q-TOF-MS  
Robust PCA Using Matrix Factorization for Background/Foreground Separation Journal article
IEEE ACCESS, 2018,Volume: 6,Page: 18945-18953
Authors:  Wang, Shuqin;  Wang, Yongli;  Chen, Yongyong;  Pan, Peng;  Sun, Zhipeng;  He, Guoping
Favorite  |  View/Download:116/0  |  Submit date:2018/10/30
Background/foreground separation  matrix factorization  robust PCA  
ROBUST PRINCIPAL COMPONENT ANALYSIS WITH MATRIX FACTORIZATION Conference paper
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Calgary, CANADA, APR 15-20, 2018
Authors:  Chen, Yongyong;  Zhou, Yicong
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
Robust Pca  Matrix Factorization  Non-convex Regularizer  Background Subtraction  
Integrating qualitative and quantitative characterization of Prunellae Spica by HPLC-QTOF/MS and HPLC-ELSD Journal article
Chinese Journal of Natural Medicines, 2016,Volume: 14,Issue: 5,Page: 391-400
Authors:  YANG J.;  HU Y.-J.;  YU B.-Y.;  QI J.
Favorite  |  View/Download:3/0  |  Submit date:2018/12/28
HPLC-ELSD  HPLC-QTOF-MS/MS  PCA  Prunella vulgaris  Prunellae Spica  
PCANet: A Simple Deep Learning Baseline for Image Classification? Journal article
IEEE Transactions on Image Processing, 2015,Volume: 24,Issue: 12,Page: 5017
Authors:  Chan T.-H.;  Jia K.;  Gao S.;  Lu J.;  Zeng Z.;  Ma Y.
Favorite  |  View/Download:15/0  |  Submit date:2018/10/30
Convolution Neural Network  Deep Learning  Face Recognition  Handwritten Digit Recognition  LDA Network  Object Classification  PCA Network  Random Network  
A new framework of simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns Journal article
IEEE Transactions on Industrial Electronics, 2013,Volume: 60,Issue: 8,Page: 3372
Authors:  Vong C.-M.;  Wong P.-K.;  Ip W.-F.
Favorite  |  View/Download:7/0  |  Submit date:2018/10/30
Automotive Applications  Fault Diagnosis  Feature Extraction  Genetic Algorithms (Ga)  Ignition  Internal Combustion Engines  Multiple Signal Classification  Principal Component Analysis (Pca)  Wavelet Packets  
A PCA and BP neural network based method for evaluation of the performance of urban management Conference paper
Proceedings - 2012 IEEE Symposium on Robotics and Applications, ISRA 2012
Authors:  Gong Z.;  Pan C.;  Zhao D.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/12
BP neural networks  evaluation method  PCA  urban management  
Analysis of fMRI data using an integrated principal component analysis and supervised affinity propagation clustering approach Journal article
IEEE Transactions on Biomedical Engineering, 2011,Volume: 58,Issue: 11,Page: 3184-3196
Authors:  Zhang J.;  Tuo X.;  Yuan Z.;  Liao W.;  Chen H.
Favorite  |  View/Download:7/0  |  Submit date:2018/12/17
Functional Magnetic Resonance Imaging (Fmri)  Hierarchical Clustering (Hc)  K-centers Clustering  Principal Component Analysis (Pca)  Supervised Affinity Propagation Clustering Analysis (Sapc)