Journal articles on the topic 'Sparse Low-Rank Representation'
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Hengdong Zhu, Hengdong Zhu, Ting Yang Hengdong Zhu, Yingcang Ma Ting Yang, and Xiaofei Yang Yingcang Ma. "Multi-view Re-weighted Sparse Subspace Clustering with Intact Low-rank Space Learning." 電腦學刊 33, no. 4 (August 2022): 121–31. http://dx.doi.org/10.53106/199115992022083304010.
Full textZhao, Jianxi, and Lina Zhao. "Low-rank and sparse matrices fitting algorithm for low-rank representation." Computers & Mathematics with Applications 79, no. 2 (January 2020): 407–25. http://dx.doi.org/10.1016/j.camwa.2019.07.012.
Full textKim, Hyuncheol, and Joonki Paik. "Video Summarization using Low-Rank Sparse Representation." IEIE Transactions on Smart Processing & Computing 7, no. 3 (June 30, 2018): 236–44. http://dx.doi.org/10.5573/ieiespc.2018.7.3.236.
Full textCHENG, Shilei, Song GU, Maoquan YE, and Mei XIE. "Action Recognition Using Low-Rank Sparse Representation." IEICE Transactions on Information and Systems E101.D, no. 3 (2018): 830–34. http://dx.doi.org/10.1587/transinf.2017edl8176.
Full textWang, Jun, Daming Shi, Dansong Cheng, Yongqiang Zhang, and Junbin Gao. "LRSR: Low-Rank-Sparse representation for subspace clustering." Neurocomputing 214 (November 2016): 1026–37. http://dx.doi.org/10.1016/j.neucom.2016.07.015.
Full textDu, Haishun, Xudong Zhang, Qingpu Hu, and Yandong Hou. "Sparse representation-based robust face recognition by graph regularized low-rank sparse representation recovery." Neurocomputing 164 (September 2015): 220–29. http://dx.doi.org/10.1016/j.neucom.2015.02.067.
Full textZhang, Xiujun, Chen Xu, Min Li, and Xiaoli Sun. "Sparse and Low-Rank Coupling Image Segmentation Model Via Nonconvex Regularization." International Journal of Pattern Recognition and Artificial Intelligence 29, no. 02 (February 27, 2015): 1555004. http://dx.doi.org/10.1142/s0218001415550046.
Full textZheng, Chun-Hou, Yi-Fu Hou, and Jun Zhang. "Improved sparse representation with low-rank representation for robust face recognition." Neurocomputing 198 (July 2016): 114–24. http://dx.doi.org/10.1016/j.neucom.2015.07.146.
Full textDu, Shiqiang, Yuqing Shi, Guangrong Shan, Weilan Wang, and Yide Ma. "Tensor low-rank sparse representation for tensor subspace learning." Neurocomputing 440 (June 2021): 351–64. http://dx.doi.org/10.1016/j.neucom.2021.02.002.
Full textZou, Dongqing, Xiaowu Chen, Guangying Cao, and Xiaogang Wang. "Unsupervised Video Matting via Sparse and Low-Rank Representation." IEEE Transactions on Pattern Analysis and Machine Intelligence 42, no. 6 (June 1, 2020): 1501–14. http://dx.doi.org/10.1109/tpami.2019.2895331.
Full textHe, Zhi-Fen, and Ming Yang. "Sparse and low-rank representation for multi-label classification." Applied Intelligence 49, no. 5 (November 26, 2018): 1708–23. http://dx.doi.org/10.1007/s10489-018-1345-5.
Full textZhang, Jian, Hongsong Dong, Wenlian Gao, Li Zhang, Zhiwen Xue, and Xiangfei Shen. "Structured low-rank representation learning for hyperspectral sparse unmixing." International Journal of Remote Sensing 45, no. 2 (January 15, 2024): 351–75. http://dx.doi.org/10.1080/01431161.2023.2295836.
Full textYou, Cong-Zhe, Zhen-Qiu Shu, and Hong-Hui Fan. "Low-rank sparse subspace clustering with a clean dictionary." Journal of Algorithms & Computational Technology 15 (January 2021): 174830262098369. http://dx.doi.org/10.1177/1748302620983690.
Full textDong, Le, and Yuan Yuan. "Sparse Constrained Low Tensor Rank Representation Framework for Hyperspectral Unmixing." Remote Sensing 13, no. 8 (April 11, 2021): 1473. http://dx.doi.org/10.3390/rs13081473.
Full textLi, Zhao, Le Wang, Tao Yu, and Bing Liang Hu. "Image Super-Resolution via Low-Rank Representation." Applied Mechanics and Materials 568-570 (June 2014): 652–55. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.652.
Full textGan, Bin, Chun-Hou Zheng, Jun Zhang, and Hong-Qiang Wang. "Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation." BioMed Research International 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/420856.
Full textXu, Yong, Xiaozhao Fang, Jian Wu, Xuelong Li, and David Zhang. "Discriminative Transfer Subspace Learning via Low-Rank and Sparse Representation." IEEE Transactions on Image Processing 25, no. 2 (February 2016): 850–63. http://dx.doi.org/10.1109/tip.2015.2510498.
Full textAudouze, Christophe, and Prasanth B. Nair. "Sparse low-rank separated representation models for learning from data." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2221 (January 2019): 20180490. http://dx.doi.org/10.1098/rspa.2018.0490.
Full textLiu, Zhonghua, Weihua Ou, Wenpeng Lu, and Lin Wang. "Discriminative feature extraction based on sparse and low-rank representation." Neurocomputing 362 (October 2019): 129–38. http://dx.doi.org/10.1016/j.neucom.2019.06.073.
Full textDu, Hai-Shun, Qing-Pu Hu, Dian-Feng Qiao, and Ioannis Pitas. "Robust face recognition via low-rank sparse representation-based classification." International Journal of Automation and Computing 12, no. 6 (November 6, 2015): 579–87. http://dx.doi.org/10.1007/s11633-015-0901-2.
Full textHuang, Jie, Ting-Zhu Huang, Liang-Jian Deng, and Xi-Le Zhao. "Joint-Sparse-Blocks and Low-Rank Representation for Hyperspectral Unmixing." IEEE Transactions on Geoscience and Remote Sensing 57, no. 4 (April 2019): 2419–38. http://dx.doi.org/10.1109/tgrs.2018.2873326.
Full textYong-Qiang Zhao and Jingxiang Yang. "Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint." IEEE Transactions on Geoscience and Remote Sensing 53, no. 1 (January 2015): 296–308. http://dx.doi.org/10.1109/tgrs.2014.2321557.
Full textMa, Guanqun, Ting-Zhu Huang, Jie Huang, and Chao-Chao Zheng. "Local Low-Rank and Sparse Representation for Hyperspectral Image Denoising." IEEE Access 7 (2019): 79850–65. http://dx.doi.org/10.1109/access.2019.2923255.
Full textHou, Yi-Fu, Zhan-Li Sun, Yan-Wen Chong, and Chun-Hou Zheng. "Low-Rank and Eigenface Based Sparse Representation for Face Recognition." PLoS ONE 9, no. 10 (October 21, 2014): e110318. http://dx.doi.org/10.1371/journal.pone.0110318.
Full textZhao, Feng, Weijian Si, and Zheng Dou. "Sparse media image restoration based on collaborative low rank representation." Multimedia Tools and Applications 77, no. 8 (June 29, 2017): 10051–62. http://dx.doi.org/10.1007/s11042-017-4958-5.
Full textTang, Kewei, Jie Zhang, Zhixun Su, and Jiangxin Dong. "Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering." Neural Processing Letters 44, no. 3 (December 29, 2015): 719–33. http://dx.doi.org/10.1007/s11063-015-9490-x.
Full textNazari Siahsar, Mohammad Amir, Saman Gholtashi, Amin Roshandel Kahoo, Hosein Marvi, and Alireza Ahmadifard. "Sparse time-frequency representation for seismic noise reduction using low-rank and sparse decomposition." GEOPHYSICS 81, no. 2 (March 1, 2016): V117—V124. http://dx.doi.org/10.1190/geo2015-0341.1.
Full textLiao, Jiayu, Xiaolan Liu, and Mengying Xie. "Inductive Latent Space Sparse and Low-rank Subspace Clustering Algorithm." Journal of Physics: Conference Series 2224, no. 1 (April 1, 2022): 012124. http://dx.doi.org/10.1088/1742-6596/2224/1/012124.
Full textXie, Shicheng, Shun Wang, Chuanming Song, and Xianghai Wang. "Hyperspectral Image Reconstruction Based on Spatial-Spectral Domains Low-Rank Sparse Representation." Remote Sensing 14, no. 17 (August 25, 2022): 4184. http://dx.doi.org/10.3390/rs14174184.
Full textSun, Yubao, Zhi Li, and Min Wu. "A Rank-Constrained Matrix Representation for Hypergraph-Based Subspace Clustering." Mathematical Problems in Engineering 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/572753.
Full textCai, T. Tony, and Anru Zhang. "Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices." IEEE Transactions on Information Theory 60, no. 1 (January 2014): 122–32. http://dx.doi.org/10.1109/tit.2013.2288639.
Full textZhang Xiaohui, 张晓慧, 郝润芳 Hao Runfang, and 李廷鱼 Li Tingyu. "Hyperspectral Abnormal Target Detection Based on Low Rank and Sparse Matrix Decomposition-Sparse Representation." Laser & Optoelectronics Progress 56, no. 4 (2019): 042801. http://dx.doi.org/10.3788/lop56.042801.
Full textYang, Jie, Jun Ma, Khin Than Win, Junbin Gao, and Zhenyu Yang. "Low-rank and sparse representation based learning for cancer survivability prediction." Information Sciences 582 (January 2022): 573–92. http://dx.doi.org/10.1016/j.ins.2021.10.013.
Full textYang, Lu, Gongping Yang, Kuikui Wang, Fanchang Hao, and Yilong Yin. "Finger Vein Recognition via Sparse Reconstruction Error Constrained Low-Rank Representation." IEEE Transactions on Information Forensics and Security 16 (2021): 4869–81. http://dx.doi.org/10.1109/tifs.2021.3118894.
Full textLi, Long, and Zheng Liu. "Noise‐robust HRRP target recognition method via sparse‐low‐rank representation." Electronics Letters 53, no. 24 (November 2017): 1602–4. http://dx.doi.org/10.1049/el.2017.2960.
Full textTao, JianWen, Shiting Wen, and Wenjun Hu. "Robust domain adaptation image classification via sparse and low rank representation." Journal of Visual Communication and Image Representation 33 (November 2015): 134–48. http://dx.doi.org/10.1016/j.jvcir.2015.09.005.
Full textChen, Jie, and Zhang Yi. "Sparse representation for face recognition by discriminative low-rank matrix recovery." Journal of Visual Communication and Image Representation 25, no. 5 (July 2014): 763–73. http://dx.doi.org/10.1016/j.jvcir.2014.01.015.
Full textYang, Wanqi, Yinghuan Shi, Yang Gao, Lei Wang, and Ming Yang. "Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation." IEEE Transactions on Neural Networks and Learning Systems 29, no. 12 (December 2018): 6276–91. http://dx.doi.org/10.1109/tnnls.2018.2828699.
Full textGu, Song, Lihui Wang, Wei Hao, Yingjie Du, Jian Wang, and Weirui Zhang. "Online Video Object Segmentation via Boundary-Constrained Low-Rank Sparse Representation." IEEE Access 7 (2019): 53520–33. http://dx.doi.org/10.1109/access.2019.2912760.
Full textHe, YuJie, Min Li, JinLi Zhang, and Qi An. "Small infrared target detection based on low-rank and sparse representation." Infrared Physics & Technology 68 (January 2015): 98–109. http://dx.doi.org/10.1016/j.infrared.2014.10.022.
Full textGe, Ting, Ning Mu, Tianming Zhan, Zhi Chen, Wanrong Gao, and Shanxiang Mu. "Brain Lesion Segmentation Based on Joint Constraints of Low-Rank Representation and Sparse Representation." Computational Intelligence and Neuroscience 2019 (July 1, 2019): 1–11. http://dx.doi.org/10.1155/2019/9378014.
Full textYang, Shicheng, Le Zhang, Lianghua He, and Ying Wen. "Sparse Low-Rank Component-Based Representation for Face Recognition With Low-Quality Images." IEEE Transactions on Information Forensics and Security 14, no. 1 (January 2019): 251–61. http://dx.doi.org/10.1109/tifs.2018.2849883.
Full textKim, Hyuncheol, and Joonki Paik. "Low-Rank Representation-Based Object Tracking Using Multitask Feature Learning with Joint Sparsity." Abstract and Applied Analysis 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/147353.
Full textZhan, Shanhua, Weijun Sun, and Peipei Kang. "Robust Latent Common Subspace Learning for Transferable Feature Representation." Electronics 11, no. 5 (March 4, 2022): 810. http://dx.doi.org/10.3390/electronics11050810.
Full textYang, Bo, Kunkun Tong, Xueqing Zhao, Shanmin Pang, and Jinguang Chen. "Multilabel Classification Using Low-Rank Decomposition." Discrete Dynamics in Nature and Society 2020 (April 7, 2020): 1–8. http://dx.doi.org/10.1155/2020/1279253.
Full textZhang, Chao, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao, and Chunlin Chen. "Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 9 (June 26, 2023): 11174–82. http://dx.doi.org/10.1609/aaai.v37i9.26323.
Full textXue, Jize, Yong-Qiang Zhao, Yuanyang Bu, Wenzhi Liao, Jonathan Cheung-Wai Chan, and Wilfried Philips. "Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution." IEEE Transactions on Image Processing 30 (2021): 3084–97. http://dx.doi.org/10.1109/tip.2021.3058590.
Full textLiu, Xiaolan, Miao Yi, Le Han, and Xue Deng. "A subspace clustering algorithm based on simultaneously sparse and low-rank representation." Journal of Intelligent & Fuzzy Systems 33, no. 1 (June 22, 2017): 621–33. http://dx.doi.org/10.3233/jifs-16771.
Full textDing, Yun, Yanwen Chong, and Shaoming Pan. "Sparse and Low-Rank Representation With Key Connectivity for Hyperspectral Image Classification." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (2020): 5609–22. http://dx.doi.org/10.1109/jstars.2020.3023483.
Full textXie, Wenbin, Hong Yin, Meini Wang, Yan Shao, and Bosi Yu. "Low‐rank structured sparse representation and reduced dictionary learning‐based abnormity detection." IET Computer Vision 13, no. 1 (December 4, 2018): 8–14. http://dx.doi.org/10.1049/iet-cvi.2018.5256.
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