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浏览/检索结果: 共8条，第1-8条 帮助 限定条件 专题：西安交通大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization 期刊论文 IEEE TRANSACTIONS ON MEDICAL IMAGING, 2019, 卷号: 38, 页码: 360-370 作者:  Li, Sui;  Zeng, Dong;  Peng, Jiangjun;  Bian, Zhaoying;  Zhang, Hao 收藏  |  浏览/下载：31/0  |  提交时间：2019/11/19 low-rank  Computed tomography  tensor  regularization  cerebral perfusion   Monocular 3D reconstruction of multiple non-rigid objects by union of non-linear spatial-temporal subspaces 会议论文 作者:  Gu, Yu;  Wang, Fei;  Chen, Yanan;  Wang, Xuan 收藏  |  浏览/下载：12/0  |  提交时间：2019/11/19 Alternating directions  Low-rank representations  Monocular 3D reconstruction  Non-rigid structure-from-motion  Optimization problems  State-of-the-art methods  Structure from motion  Subspace   Capturing Complex 3D Human Motions with Kernelized Low-Rank Representation from Monocular RGB Camera 期刊论文 SENSORS, 2017, 卷号: 17 作者:  Wang, Xuan;  Wang, Fei;  Chen, Yanan 收藏  |  浏览/下载：3/0  |  提交时间：2019/11/26 non-rigid structure from motion  monocular reconstruction  3D human pose estimation  kernel low-rank representation   Low-rank preserving embedding 期刊论文 PATTERN RECOGNITION, 2017, 卷号: 70, 页码: 112-125 作者:  Zhang, Yupei;  Xiang, Ming;  Yang, Bo 收藏  |  浏览/下载：9/0  |  提交时间：2019/11/26 Reconstruction relationship preserving projections  Discriminative feature learning  Dimensionality reduction  Low-rank representation   SUPER-RESOLUTION RECONSTRUCTION OF HYPERSPECTRAL IMAGES VIA LOW RANK TENSOR MODELING AND TOTAL VARIATION REGULARIZATION 会议论文 作者:  He, Shiying;  Zhou, Haiwei;  Wang, Yao;  Cao, Wenfei;  Han, Zhi 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/02 Hyperspectral images  Folded-concave penalty  nuclear norm  3D total variation  Super-resolution reconstruction   A linearly iterative method for non-rigid projective reconstruction 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2015, 卷号: 49, 期号: [db:dc_citation_issue], 页码: 102-106 作者:  Peng, Yali;  Liu, Shigang;  Qiu, Guoyong 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02 Image matrix  Image points  Image sequence  Low-rank properties  Non-rigid  Projective reconstruction  Projective structure  Simulation data   Saliency Detection via Low-rank Reconstruction from Global to Local 会议论文 作者:  Li, Ce;  Hu, Zhijia;  Xiao, Limei;  Pan, Zhengrong 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 Rank-sparsity  Visual saliency  Saliency detection  Clutter background   L-1-Norm Low-Rank Matrix Factorization by Variational Bayesian Method 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: [db:dc_citation_issue], 页码: 825-839 作者:  Zhao, Qian;  Meng, Deyu;  Xu, Zongben;  Zuo, Wangmeng;  Yan, Yan 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/02 outlier detection  low-rank matrix factorization (LRMF)  robustness  variational inference  Background subtraction  face reconstruction