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