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Class-Oriented Self-Learning Graph Embedding for Image Compact Representation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 1, 页码: 74-87
作者:  Hu, Liangchen;  Dai, Zhenlei;  Tian, Lei;  Zhang, Wensheng
收藏  |  浏览/下载:165/0  |  提交时间:2023/03/20
Sparse matrices  Manifolds  Machine learning algorithms  Laplace equations  Heuristic algorithms  Data models  Data mining  Adaptive graph learning  separability examination  marginal information preserving  L-2,L-p-norm sparsity  compact representation  
Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 206, 页码: 15
作者:  Hu, Liangchen;  Xu, Jingke;  Tian, Lei;  Zhang, Wensheng
收藏  |  浏览/下载:165/0  |  提交时间:2021/01/07
Maximum margin criterion  Robustness  Adaptive centroid  L-1,L-2-norm sparsity  Dimensionality reduction  
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 9703-9718
作者:  Tian, Lei;  Tang, Yongqiang;  Hu, Liangchen;  Ren, Zhida;  Zhang, Wensheng
Adobe PDF(3443Kb)  |  收藏  |  浏览/下载:317/63  |  提交时间:2021/01/06
Domain adaptation  class centroid matching  local manifold self-learning