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A generalized least-squares approach regularized with graph embedding for dimensionality reduction 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 98, 页码: 10
作者:  Shen, Xiang-Jun;  Liu, Si-Xing;  Bao, Bing-Kun;  Pan, Chun-Hong;  Zha, Zheng-Jun;  Fan, Jianping
收藏  |  浏览/下载：291/0  |  提交时间：2020/03/30
Dimensionality reduction  Graph embedding  Subspace learning  Least-squares  
Deep Spatial and Temporal Network for Robust Visual Object Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 1762-1775
作者:  Teng, Zhu;  Xing, Junliang;  Wang, Qiang;  Zhang, Baopeng;  Fan, Jianping
收藏  |  浏览/下载：333/0  |  提交时间：2020/03/30
Target tracking  Visualization  Biological system modeling  Correlation  Training  Benchmark testing  Visual tracking  deep network  spatial-temporal LSTM  
A generalized multi-dictionary least squares framework regularized with multi-graph embeddings 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 90, 页码: 1-11
作者:  Abeo, Timothy Apasiba;  Shen, Xiang-Jun;  Bao, Bing-Kun;  Zha, Zheng-Jun;  Fan, Jianping
收藏  |  浏览/下载：289/0  |  提交时间：2019/12/16
Multi-view dimension reduction  Least squares  Multiple graphs  Feature extraction  Classification