Artículos de revistas sobre el tema "Joint sparsity structure"
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Huang, Junhao, Weize Sun y Lei Huang. "Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network". Neural Computation 33, n.º 4 (2021): 1113–43. http://dx.doi.org/10.1162/neco_a_01368.
Texto completoQin, Si, Yimin D. Zhang, Qisong Wu y Moeness G. Amin. "Structure-Aware Bayesian Compressive Sensing for Near-Field Source Localization Based on Sensor-Angle Distributions". International Journal of Antennas and Propagation 2015 (2015): 1–15. http://dx.doi.org/10.1155/2015/783467.
Texto completoLi, Meng, Liang Yan y Qianying Wang. "Group Sparse Regression-Based Learning Model for Real-Time Depth-Based Human Action Prediction". Mathematical Problems in Engineering 2018 (24 de diciembre de 2018): 1–7. http://dx.doi.org/10.1155/2018/8201509.
Texto completoBirdi, Jasleen, Audrey Repetti y Yves Wiaux. "Sparse interferometric Stokes imaging under the polarization constraint (Polarized SARA)". Monthly Notices of the Royal Astronomical Society 478, n.º 4 (4 de julio de 2018): 4442–63. http://dx.doi.org/10.1093/mnras/sty1182.
Texto completoCao, Meng, Wenxing Bao y Kewen Qu. "Hyperspectral Super-Resolution Via Joint Regularization of Low-Rank Tensor Decomposition". Remote Sensing 13, n.º 20 (14 de octubre de 2021): 4116. http://dx.doi.org/10.3390/rs13204116.
Texto completoDai, Ling-Yun, Rong Zhu y Juan Wang. "Joint Nonnegative Matrix Factorization Based on Sparse and Graph Laplacian Regularization for Clustering and Co-Differential Expression Genes Analysis". Complexity 2020 (16 de noviembre de 2020): 1–10. http://dx.doi.org/10.1155/2020/3917812.
Texto completoAbdulaziz, Abdullah, Arwa Dabbech y Yves Wiaux. "Wideband super-resolution imaging in Radio Interferometry via low rankness and joint average sparsity models (HyperSARA)". Monthly Notices of the Royal Astronomical Society 489, n.º 1 (5 de agosto de 2019): 1230–48. http://dx.doi.org/10.1093/mnras/stz2117.
Texto completoTigges, Timo, Janis Sarikas, Michael Klum y Reinhold Orglmeister. "Compressed sensing of multi-lead ECG signals by compressive multiplexing". Current Directions in Biomedical Engineering 1, n.º 1 (1 de septiembre de 2015): 65–68. http://dx.doi.org/10.1515/cdbme-2015-0017.
Texto completoGe, Ting, Tianming Zhan, Qinfeng Li y Shanxiang Mu. "Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation". Computational Intelligence and Neuroscience 2022 (24 de junio de 2022): 1–12. http://dx.doi.org/10.1155/2022/3514988.
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 completoAlabideen, Lama Zien, Oumayma Al-Dakkak y Khaldoun Khorzom. "Reweighted Covariance Fitting Based on Nonconvex Schatten-p Minimization for Gridless Direction of Arrival Estimation". Mathematical Problems in Engineering 2020 (27 de abril de 2020): 1–11. http://dx.doi.org/10.1155/2020/3012952.
Texto completoMiao, Gongxun, Guohua Wu, Zhen Zhang, Yongjie Tong y Bing Lu. "AddAG-AE: Anomaly Detection in Dynamic Attributed Graph Based on Graph Attention Network and LSTM Autoencoder". Electronics 12, n.º 13 (21 de junio de 2023): 2763. http://dx.doi.org/10.3390/electronics12132763.
Texto completoMiriya Thanthrige, Udaya S. K. P., Peter Jung y Aydin Sezgin. "Deep Unfolding of Iteratively Reweighted ADMM for Wireless RF Sensing". Sensors 22, n.º 8 (15 de abril de 2022): 3065. http://dx.doi.org/10.3390/s22083065.
Texto completoMa, Fei, Feixia Yang, Ziliang Ping y Wenqin Wang. "Joint Spatial-Spectral Smoothing in a Minimum-Volume Simplex for Hyperspectral Image Super-Resolution". Applied Sciences 10, n.º 1 (27 de diciembre de 2019): 237. http://dx.doi.org/10.3390/app10010237.
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 completoGao, Xuyang, Yibing Shi, Kai Du, Qi Zhu y Wei Zhang. "Sparse Blind Deconvolution with Nonconvex Optimization for Ultrasonic NDT Application". Sensors 20, n.º 23 (4 de diciembre de 2020): 6946. http://dx.doi.org/10.3390/s20236946.
Texto completoWang, Tiebin, Kaiyuan Huang, Min Liu y Ranran He. "Sparse Space Shift Keying Modulation with Enhanced Constellation Mapping". Sensors 22, n.º 15 (7 de agosto de 2022): 5895. http://dx.doi.org/10.3390/s22155895.
Texto completoDong, Naghedolfeizi, Aberra y Zeng. "Spectral–Spatial Discriminant Feature Learning for Hyperspectral Image Classification". Remote Sensing 11, n.º 13 (29 de junio de 2019): 1552. http://dx.doi.org/10.3390/rs11131552.
Texto completoEmmert-Streib, Frank y Matthias Dehmer. "Large-Scale Simultaneous Inference with Hypothesis Testing: Multiple Testing Procedures in Practice". Machine Learning and Knowledge Extraction 1, n.º 2 (15 de mayo de 2019): 653–83. http://dx.doi.org/10.3390/make1020039.
Texto completoOghenekohwo, Felix, Haneet Wason, Ernie Esser y Felix J. Herrmann. "Low-cost time-lapse seismic with distributed compressive sensing — Part 1: Exploiting common information among the vintages". GEOPHYSICS 82, n.º 3 (1 de mayo de 2017): P1—P13. http://dx.doi.org/10.1190/geo2016-0076.1.
Texto completoLi, Guojing, Wei Ye, Guochao Lao, Shuya Kong y Di Yan. "Narrowband Interference Separation for Synthetic Aperture Radar via Sensing Matrix Optimization-Based Block Sparse Bayesian Learning". Electronics 8, n.º 4 (25 de abril de 2019): 458. http://dx.doi.org/10.3390/electronics8040458.
Texto completoZhang, Zheng, Xiaofeng Zhu, Guangming Lu y Yudong Zhang. "Probability Ordinal-Preserving Semantic Hashing for Large-Scale Image Retrieval". ACM Transactions on Knowledge Discovery from Data 15, n.º 3 (12 de abril de 2021): 1–22. http://dx.doi.org/10.1145/3442204.
Texto completoBai, Zijian, Yinfeng Huang, Suzhi Zhang, Pu Li, Yuanyuan Chang y Xiang Lin. "Multi-Level Knowledge-Aware Contrastive Learning Network for Personalized Recipe Recommendation". Applied Sciences 12, n.º 24 (14 de diciembre de 2022): 12863. http://dx.doi.org/10.3390/app122412863.
Texto completoHaichao Zhang, Yanning Zhang, N. M. Nasrabadi y T. S. Huang. "Joint-Structured-Sparsity-Based Classification for Multiple-Measurement Transient Acoustic Signals". IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42, n.º 6 (diciembre de 2012): 1586–98. http://dx.doi.org/10.1109/tsmcb.2012.2196038.
Texto completoKJELDAL, INGER. "Irreducible Compound Dorsal Dislocations of the Proximal Interphalangeal Joint of the Finger". Journal of Hand Surgery 11, n.º 1 (febrero de 1986): 49–50. http://dx.doi.org/10.1016/0266-7681_86_90011-2.
Texto completoZhang, Chi, Shuanghui Zhang, Yongxiang Liu y Xiang Li. "Joint Structured Sparsity and Least Entropy Constrained Sparse Aperture Radar Imaging and Autofocusing". IEEE Transactions on Geoscience and Remote Sensing 58, n.º 9 (septiembre de 2020): 6580–93. http://dx.doi.org/10.1109/tgrs.2020.2978096.
Texto completoXie, Liping, Dacheng Tao y Haikun Wei. "Joint Structured Sparsity Regularized Multiview Dimension Reduction for Video-Based Facial Expression Recognition". ACM Transactions on Intelligent Systems and Technology 8, n.º 2 (18 de enero de 2017): 1–21. http://dx.doi.org/10.1145/2956556.
Texto completoDjelouat, Hamza, Hamza Baali, Abbes Amira y Faycal Bensaali. "An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System". Wireless Communications and Mobile Computing 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/9823684.
Texto completoWu, Xing, Xia Zhang, Nan Wang y Yi Cen. "Joint Sparse and Low-Rank Multi-Task Learning with Extended Multi-Attribute Profile for Hyperspectral Target Detection". Remote Sensing 11, n.º 2 (15 de enero de 2019): 150. http://dx.doi.org/10.3390/rs11020150.
Texto completoChang, Yan-Shuo, Feiping Nie y Ming-Yu Wang. "Multiview Feature Analysis via Structured Sparsity and Shared Subspace Discovery". Neural Computation 29, n.º 7 (julio de 2017): 1986–2003. http://dx.doi.org/10.1162/neco_a_00977.
Texto completoFan, Bo, Xiaoli Zhou, Shuo Chen, Zhijie Jiang y Yongqiang Cheng. "Sparse Bayesian Perspective for Radar Coincidence Imaging with Model Errors". Mathematical Problems in Engineering 2020 (21 de abril de 2020): 1–12. http://dx.doi.org/10.1155/2020/9202654.
Texto completoXu, Lei, Chuancheng Song y Lei Chen. "Tri-Structured-Sparsity Induced Joint Feature Selection and Classification for Hybrid Noise Resilient Multilabel Learning". IEEE Access 8 (2020): 108270–80. http://dx.doi.org/10.1109/access.2020.3001274.
Texto completoSrinivas, Umamahesh, Yi Chen, Vishal Monga, Nasser Nasrabadi y Trac Tran. "Exploiting Sparsity in Hyperspectral Image Classification via Graphical Models". Geoscience and Remote Sensing Letters, IEEE 10, n.º 3 (noviembre de 2012): 505–9. http://dx.doi.org/10.1109/lgrs.2012.2211858.
Texto completoFannjiang, Albert. "TV-min and greedy pursuit for constrained joint sparsity and application to inverse scattering". Mathematics and Mechanics of Complex Systems 1, n.º 1 (6 de febrero de 2013): 81–104. http://dx.doi.org/10.2140/memocs.2013.1.81.
Texto completoHu, Yaping, Liying Liu y Yujie Wang. "Alternating Direction Multiplier Method for Matrix l2,1-Norm Optimization in Multitask Feature Learning Problems". Mathematical Problems in Engineering 2020 (26 de agosto de 2020): 1–7. http://dx.doi.org/10.1155/2020/4864296.
Texto completoGreen, Spence, Marie-Catherine de Marneffe y Christopher D. Manning. "Parsing Models for Identifying Multiword Expressions". Computational Linguistics 39, n.º 1 (marzo de 2013): 195–227. http://dx.doi.org/10.1162/coli_a_00139.
Texto completoZhang, Xinyu, Ian Colbert y Srinjoy Das. "Learning Low-Precision Structured Subnetworks Using Joint Layerwise Channel Pruning and Uniform Quantization". Applied Sciences 12, n.º 15 (4 de agosto de 2022): 7829. http://dx.doi.org/10.3390/app12157829.
Texto completoZhang, Wenjie, Hui Li, Rong Jin, Shanlin Wei, Wei Cheng, Weisi Kong y Penglu Liu. "Distributed Structured Compressive Sensing-Based Time-Frequency Joint Channel Estimation for Massive MIMO-OFDM Systems". Mobile Information Systems 2019 (2 de mayo de 2019): 1–16. http://dx.doi.org/10.1155/2019/2634361.
Texto completoLu, Chenxiang, Xiangyang Zeng, Qiang Wang, Lu Wang y Anqi Jin. "Array-Based Underwater Acoustic Target Classification with Spectrum Reconstruction Based on Joint Sparsity and Frequency Shift Invariant Feature". Journal of Marine Science and Engineering 11, n.º 6 (23 de mayo de 2023): 1101. http://dx.doi.org/10.3390/jmse11061101.
Texto completoDing, Yang y Leyuan Zhou. "Inner-Cluster-Structure Reconstruction Based Transfer Fuzzy Clustering and MRI Segmentation Applications". Journal of Medical Imaging and Health Informatics 10, n.º 7 (1 de julio de 2020): 1575–83. http://dx.doi.org/10.1166/jmihi.2020.3052.
Texto completoHan, Song, Xiaoping Liu, Xing Han, Gang Wang y Shaobo Wu. "Visual Sorting of Express Parcels Based on Multi-Task Deep Learning". Sensors 20, n.º 23 (27 de noviembre de 2020): 6785. http://dx.doi.org/10.3390/s20236785.
Texto completoCaughey, Devin y Mallory Wang. "Dynamic Ecological Inference for Time-Varying Population Distributions Based on Sparse, Irregular, and Noisy Marginal Data". Political Analysis 27, n.º 3 (11 de abril de 2019): 388–96. http://dx.doi.org/10.1017/pan.2019.4.
Texto completoGrigorenko, S. G., T. G. Taranova, V. A. Kostin, T. G. Solomijchuk, V. Yu Bilous y E. L. Vrzhizhevskyi. "Influence of heat treatment on the structure and fracture mode of welded joints of sparsely-alloyed titanium alloy". Sovremennaâ èlektrometallurgiâ 2021, n.º 3 (28 de septiembre de 2021): 42–48. http://dx.doi.org/10.37434/sem2021.03.07.
Texto completoVitali, F., S. Marini, D. Pala, A. Demartini, S. Montoli, A. Zambelli y R. Bellazzi. "Patient similarity by joint matrix trifactorization to identify subgroups in acute myeloid leukemia". JAMIA Open 1, n.º 1 (14 de mayo de 2018): 75–86. http://dx.doi.org/10.1093/jamiaopen/ooy008.
Texto completoSong, Jiagang, Jiayu Song, Xinpan Yuan, Xiao He y Xinghui Zhu. "Graph Representation-Based Deep Multi-View Semantic Similarity Learning Model for Recommendation". Future Internet 14, n.º 2 (19 de enero de 2022): 32. http://dx.doi.org/10.3390/fi14020032.
Texto completoSong, Min, Minhyuk Lee, Taesung Park y Mira Park. "MP-LASSO chart: a multi-level polar chart for visualizing group LASSO analysis of genomic data". Genomics & Informatics 20, n.º 4 (31 de diciembre de 2022): e48. http://dx.doi.org/10.5808/gi.22075.
Texto completoHu, Xueru, Lanyue Zhang, Di Wu y Jia Wang. "Underwater Acoustic Channel Estimation via an Orthogonal Matching Pursuit Algorithm Based on the Modified Phase-Transform-Weighted Function". Journal of Marine Science and Engineering 11, n.º 7 (11 de julio de 2023): 1397. http://dx.doi.org/10.3390/jmse11071397.
Texto completoWelford, J. Kim, Deric Cameron, Erin Gillis, Victoria Mitchell y Richard Wright. "Crustal structure of the offshore Labrador margin into deep water from combined seismic reflection interpretation and gravity modeling". Interpretation 8, n.º 2 (1 de mayo de 2020): SH1—SH17. http://dx.doi.org/10.1190/int-2019-0068.1.
Texto completoPrice, M. A., J. D. McEwen, L. Pratley y T. D. Kitching. "Sparse Bayesian mass-mapping with uncertainties: Full sky observations on the celestial sphere". Monthly Notices of the Royal Astronomical Society 500, n.º 4 (17 de noviembre de 2020): 5436–52. http://dx.doi.org/10.1093/mnras/staa3563.
Texto completoWang, Chenming y Bo Huang. "The Use of Attentive Knowledge Graph Perceptual Propagation for Improving Recommendations". Applied Sciences 13, n.º 8 (7 de abril de 2023): 4667. http://dx.doi.org/10.3390/app13084667.
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