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Joint deep convolutional feature representation for hyperspectral palmprint recognition Journal article
Information Sciences, 2019,Volume: 489,Page: 167-181
Authors:  Zhao S.;  Zhang B.;  Philip Chen C.L.
Favorite  |  View/Download:22/0  |  Submit date:2019/04/04
CNN stack  Hyperspectral palmprint recognition  Joint convolutional feature  
Spectral-Spatial Graph Convolutional Networks for Semisupervised Hyperspectral Image Classification Journal article
IEEE Geoscience and Remote Sensing Letters, 2019,Volume: 16,Issue: 2,Page: 241-245
Authors:  Qin A.;  Shang Z.;  Tian J.;  Wang Y.;  Zhang T.;  Tang Y.Y.
Favorite  |  View/Download:37/0  |  Submit date:2019/02/11
Graph convolutional  hyperspectral image (HSI) classification  neural network  semisupervised learning  
Deep Fusion Network for Splicing Forgery Localization Conference paper
ECCV 2018: Computer Vision – ECCV 2018 Workshops, Munich, Germany, 2018-8-14
Authors:  Liu, Bo;  Pun, Chi-Man
Favorite  |  View/Download:15/0  |  Submit date:2019/05/24
Image Forensics  Splicing Forgery Detection  Forgery Localization  Deep Convolutional Network  Fusion Network  
Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images Journal article
BIOMEDICAL ENGINEERING ONLINE, 2019,Volume: 18,Issue: 8
Authors:  Yunzhi Huang;  Luyi Han;  Haoran Dou;  Honghao Luo;  Zhen Yuan;  Qi Liu;  Jiang Zhang;  Guangfu Yin
Favorite  |  View/Download:6/0  |  Submit date:2020/06/24
Breast Tumor In Ultrasound Image  Breast Imaging Reporting And Data System (Bi-rads)  Automatic Categorization  Deep Convolutional Neural Network  
An Efficient Fault Diagnostic Method for Three-Phase Induction Motors Based on Incremental Broad Learning and Non-Negative Matrix Factorization Journal article
IEEE Access, 2019,Volume: 7,Page: 17780-17790
Authors:  Jiang S.B.;  Wong P.K.;  Guan R.;  Liang Y.;  Li J.
Favorite  |  View/Download:24/0  |  Submit date:2019/03/26
Fault Diagnosis  Feature Extraction  Incremental Board Learning  Non-negative Matrix Factorization  Three-phase Induction Motor  
Multi-View CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition Journal article
COGNITIVE COMPUTATION, 2018,Volume: 10,Issue: 6,Page: 908-921
Authors:  Yang, Zhi-Xin;  Tang, Lulu;  Zhang, Kun;  Wong, Pak Kin
Favorite  |  View/Download:20/0  |  Submit date:2019/01/17
Elm Auto-encoder  Convolutional Neural Networks  3d Shape Recognition  Multi-view Feature Aggregation  
Superpixel-based 3D deep neural networks for hyperspectral image classification Journal article
PATTERN RECOGNITION, 2018,Volume: 74,Page: 600-616
Authors:  Shi, Cheng;  Pun, Chi-Man
Favorite  |  View/Download:16/0  |  Submit date:2018/10/30
Hyperspectral Image Classification  Superpixel  3d Deep Neural Networks  
Perceptual Loss for Superpixel-Level Multispectral and Panchromatic Image Classification Conference paper
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Calgary, Alberta, Canada, April 15-20, 2018
Authors:  Shi C.;  Pun C.-M.
Favorite  |  View/Download:11/0  |  Submit date:2019/02/14
Convolutional Neural Networks  Perceptual Loss Function  Spectral Similarity Constraint  Structure Similarity Constraint  
Locating splicing forgery by fully convolutional networks and conditional random field Journal article
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018,Volume: 66,Page: 103-112
Authors:  Liu, Bo;  Pun, Chi-Man
Favorite  |  View/Download:22/0  |  Submit date:2018/10/30
Splicing Forgery  Deep Neural Network  Fully Convolutional Network  Conditional Random Field  
Multi-scale hierarchical recurrent neural networks for hyperspectral image classification Journal article
NEUROCOMPUTING, 2018,Volume: 294,Page: 82-93
Authors:  Shi, Cheng;  Pun, Chi-Man
Favorite  |  View/Download:17/0  |  Submit date:2018/10/30
Hyperspectral Image Classification  Recurrent Neural Networks  Multi-scale