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北京大学 [4]

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	Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 572-586 作者: Xie, Yuan; Zhang, Wensheng; Qu, Yanyun; Dai, Longquan; Tao, Dacheng 收藏 \| 浏览/下载：49/0 \| 提交时间：2020/03/30 Tensile stress Manifolds Encoding Laplace equations Semisupervised learning Correlation Optimization Manifold regularization multilinear multiview features nonlinear subspace clustering tensor singular-value decomposition (t-SVD)
	Low-Rank 2-D Neighborhood Preserving Projection for Enhanced Robust Image Representation 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 5, 页码: 1859–1872 作者: Lu, Yuwu; Lai, Zhihui; Li, Xuelong; Wong, Wai Keung; Yuan, Chun 收藏 \| 浏览/下载：44/0 \| 提交时间：2019/04/12 2-D neighborhood preserving projection (2DNPP) image representation low-rank robust feature extraction
	Dual Graph Regularized Discriminative Multi-task Tracker 期刊论文 IEEE Transactions on Multimedia, 2018, 页码: 1-14 作者: Tang YD(唐延东); Fan BJ(范保杰); Cong Y(丛杨) 收藏 \| 浏览/下载：40/0 \| 提交时间：2018/02/24 Multi-task tracker Discriminative low rank learning Geometric structure information Graph regularization, Collaborate metric
	SPATIAL-SPECTRAL GRAPH-BASED NONLINEAR EMBEDDING DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGE CLASSIFICAITON 会议论文作者: Zhang, Xiangrong; Han, Yaru; Huyan, Ning; Li, Chen; Feng, Jie 收藏 \| 浏览/下载：21/0 \| 提交时间：2019/11/19 sparse and low-rank graph dimensionality reduction hyperspectral classification
	Low-rank graph regularized sparse coding 会议论文作者: Zhang, Yupei; Liu, Shuhui; Shang, Xuequn; Xiang, Ming 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/11/26 Alternating direction methods Image clustering Instability problems Low-rank representations Multiple subspaces preserving Optimization problems Sparse coding Sparse representation
	A TWO-STREAM UNIFIED INTERPRETATION NETWORK FOR HETEROGENEOUS REMOTE SENSING IMAGES CLASSIFICATION 其他 2018-01-01 作者: Wang, Yan; He, Chu; Xiong, Dehui; Tu, Mingxia 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/05 Remote sensing image classification deep learning graph embedding sparse and low-rank representations fully convolutional network subspace learning
	A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification 期刊论文 REMOTE SENSING, 2018, 卷号: 10, 期号: 2 作者: Wang, Yan; He, Chu; Liu, Xinlong; Liao, Mingsheng 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/05 fully convolutional network (FCN) polarimetric synthetic aperture radar (PolSAR) image classification subspace learning graph embedding (GE) sparse representation (SR) low-rank representation (LRR)
	Data-driven Graph Construction and Graph Learning: A Review 期刊论文 NEUROCOMPUTING, 2018, 卷号: Vol.312, 页码: 336-351 作者: Lishan Qiao; Limei Zhang; Songcan Chen; Dinggang Shen 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/26 Graph construction Machine learning Sparse representation Low-rank representation Multi-graph learning Brain network
	Graph Regularized Non-Negative Low-Rank Matrix Factorization for Image Clustering 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 11, 页码: 3840-3853 作者: Li, Xuelong; Cui, Guosheng; Dong, Yongsheng 收藏 \| 浏览/下载：40/0 \| 提交时间：2017/12/25 Data Representation Graph Regularization Image Clustering Low-rank Recovery Non-negative Matrix Factorization (Nmf)
	Groupwise registration of MR brain images with tumors 期刊论文 PHYSICS IN MEDICINE AND BIOLOGY, 2017, 卷号: 62, 期号: 17, 页码: 8853-8868 作者: Tang, Zhenyu; Wu, Yihong; Fan, Yong 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/01/04 Groupwise Image Registration Image Inpainting Brain Tumor Images

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