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A Novel Adaptively Binarizing Magnitude Vector Method in Local Binary Pattern Based Framework for Texture Classification 期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2022, 卷号: 29, 页码: 852-856
作者:  Hu, Shiqi;  Pan, Zhibin;  Dong, Jing;  Ren, Xincheng
收藏  |  浏览/下载：211/0  |  提交时间：2022/06/10
Local binary pattern (LBP)  adaptively binarizing magnitude vector (ABMV)  threshold  average vector threshold  texture classification  
Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 3, 页码: 377-391
作者:  Jun Zhang;  Lei Pan;  Qing-Long Han;  Chao Chen;  Sheng Wen;  Yang Xiang
Adobe PDF(2314Kb)  |  收藏  |  浏览/下载：210/44  |  提交时间：2022/03/09
Cyber-physical system  cybersecurity  deep learning  intrusion detection  pattern classification  
CI-GNN: Building a Category-Instance Graph for Zero-Shot Video Classification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3088-3100
作者:  Gao, Junyu;  Xu, Changsheng
收藏  |  浏览/下载：167/0  |  提交时间：2021/03/01
Semantics  Task analysis  Visualization  Training  Message passing  Pattern recognition  Neural networks  Zero-shot video classification  graph neural network  zero-shot learning  
A Hybrid Time Frequency Response and Fuzzy Decision Tree for Non-stationary Signal Analysis and Pattern Recognition 期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 3, 页码: 398-412
作者:  N. R. Nayak;  P. K. Dash;  R. Bisoi
Adobe PDF(1576Kb)  |  收藏  |  浏览/下载：127/41  |  提交时间：2021/02/22
Non-stationary signals  sparse S-transform (SST)  scaling method  fuzzy decision tree  pattern classification.  
Changes of Effective Connectivity in the Alpha Band Characterize Differential Processing of Audiovisual Information in Cross-Modal Selective Attention 期刊论文
NEUROSCIENCE BULLETIN, 2020, 卷号: 36, 期号: 9, 页码: 1009-1022
作者:  Niu, Weikun;  Jiang, Yuying;  Zhang, Xin;  Jiang, Tianzi;  Zhang, Yujin;  Yu, Shan
Adobe PDF(3941Kb)  |  收藏  |  浏览/下载：250/0  |  提交时间：2020/08/24
Human EEG  Audiovisual selective attention  Granger Causality  Pattern classification  
Bidirectional Attention-Recognition Model for Fine-Grained Object Classification 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 7, 页码: 1785-1795
作者:  Liu, Chuanbin;  Xie, Hongtao;  Zha, Zhengjun;  Yu, Lingyun;  Chen, Zhineng;  Zhang, Yongdong
收藏  |  浏览/下载：187/0  |  提交时间：2020/08/03
Fine-grained object classification  interpretable machine learning  visual attention  pattern recognition  data augmentation  
Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients 期刊论文
HUMAN BRAIN MAPPING, 2019, 卷号: 40, 期号: 13, 页码: 3930-3939
作者:  Jing, Rixing;  Li, Peng;  Ding, Zengbo;  Lin, Xiao;  Zhao, Rongjiang;  Shi, Le;  Yan, Hao;  Liao, Jinmin;  Zhuo, Chuanjun;  Lu, Lin;  Fan, Yong
收藏  |  浏览/下载：321/0  |  提交时间：2019/12/16
cognitive impairment  functional networks  machine learning  pattern classification  resting-state functional magnetic resonance imaging  unaffected first-degree relatives  
Simultaneous change region and pattern identification for very high-resolution images 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2017, 卷号: 11
作者:  Huo, Chunlei;  Huo, Leigang;  Zhou, Zhixin;  Pan, Chunhong
收藏  |  浏览/下载：245/0  |  提交时间：2018/03/03
Change Detection  Change Pattern  Feature Classification  Feature Learning  Distance Tuning  
Simultaneous Change Region and Change Pattern Identification for Very High Resolution Images 期刊论文
Journal of Applied Remote Sensing, 2017, 卷号: 1, 期号: 1, 页码: 1-10
作者:  Huo CL(霍春雷);  Huo CL(霍春雷)
Adobe PDF(11029Kb)  |  收藏  |  浏览/下载：337/121  |  提交时间：2017/09/19
Change Detection  Change Pattern  Feature Classification  Feature Learning  Distance Tuning.  
Contextual Exemplar Classifier-Based Image Representation for Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 8, 页码: 1691-1699
作者:  Zhang, Chunjie;  Huang, Qingming;  Tian, Qi
Adobe PDF(1939Kb)  |  收藏  |  浏览/下载：384/129  |  提交时间：2017/09/14
Computer Vision  Image Processing  Pattern Classification