A trace inequality of John von Neumann

Maximum Properties and Inequalities for the Eigenvalues of Completely Continuous Operators.

Fan, K. (1951) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.37.11.760 · Cited by 488 · see citing works

A theory of cross-spaces

Schatten, R. (1950) · Medical Entomology and Zoology · Cited by 304 · see citing works

On the Trace of Matrix Products

Mirsky, L. (1959) · Mathematische Nachrichten · doi:10.1002/mana.19590200306 · Cited by 80 · see citing works

On the Maximum Principle of Ky Fan

Marcus, M. D., & Moyls, B. N. (1957) · Canadian Journal of Mathematics · doi:10.4153/cjm-1957-038-6 · Cited by 14 · see citing works

Maximum Principles in matrix theory

Mirsky, L. (1958) · Proceedings of the Glasgow Mathematical Association · doi:10.1017/s2040618500033827 · Cited by 12 · see citing works

Über einige Ungleichungen im Matrizenkalkül

Schur, I. (1937) · Prace Matematyczno-Fizyczne · Cited by 3 · see citing works

Convexity conditions and existence theorems in nonlinear elasticity

Ball, J. M. (1976) · Archive for Rational Mechanics and Analysis · doi:10.1007/bf00279992 · Cited by 2,436 · see citing works

Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision

Gu, S., Xie, Q., Meng, D., Zuo, W., Feng, X., & Lei Zhang, A. (2016) · International Journal of Computer Vision · doi:10.1007/s11263-016-0930-5 · Cited by 818 · see citing works

Quantum speed limits: from Heisenberg’s uncertainty principle to optimal quantum control

Deffner, S., & Campbell, S. (2017) · Journal of Physics A: Mathematical and Theoretical · doi:10.1088/1751-8121/aa86c6 · Cited by 585 · see citing works

Quantum Speed Limit for Non-Markovian Dynamics

Deffner, S., & Lutz, E. (2013) · Physical Review Letters · doi:10.1103/physrevlett.111.010402 · Cited by 511 · see citing works

Low rank subspace clustering (LRSC)

Vidal, R., & Favaro, P. (2013) · Pattern Recognition Letters · doi:10.1016/j.patrec.2013.08.006 · Cited by 479 · see citing works

Quantum speed limits: from Heisenberg's uncertainty principle to optimal quantum control

Deffner, S., & Campbell, S. (2017) · Maryland Shared Open Access Repository (USMAI Consortium) · doi:10.13016/m2heya-i4ys · Cited by 485 · see citing works

Weighted Schatten $p$ -Norm Minimization for Image Denoising and Background Subtraction

Xie, Y., Gu, S., Liu, Y., Zuo, W., Zhang, W., & Lei Zhang, A. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2599290 · Cited by 424 · see citing works

Principal Component Analysis

Vidal, R., Ma, Y., & Sastry, S. (2016) · Interdisciplinary applied mathematics · doi:10.1007/978-0-387-87811-9_2 · Cited by 337 · see citing works

Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery

Xie, Q., Zhao, Q., Meng, D., & Xu, Z. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2734888 · Cited by 319 · see citing works

Matrix Completion and Low-Rank SVD via Fast Alternating Least SquaresPreprint

Hastie, T. J., Mazumder, R., Lee, J. D., & Zadeh, R. B. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1410.2596 · Cited by 311 · see citing works

Reduced rank regression via adaptive nuclear norm penalization

Chen, K., Dong, H., & Chan, K.-S. (2013) · Biometrika · doi:10.1093/biomet/ast036 · Cited by 249 · see citing works

Enhanced Tensor RPCA and its Application

Gao, Q., Zhang, P., Xia, W., Xie, D., Gao, X., & Tao, D. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3017672 · Cited by 230 · see citing works

Weighted Low-Rank Tensor Recovery for Hyperspectral Image Restoration

Chang, Y., Yan, L., Zhao, X.-L., Fang, H., Zhang, Z., & Zhong, S. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2983102 · Cited by 224 · see citing works

Distributed Quantum Metrology with Linear Networks and Separable Inputs

Ge, W., Jacobs, K., Eldredge, Z., Gorshkov, A. V., & Foss-Feig, M. (2018) · Physical Review Letters · doi:10.1103/physrevlett.121.043604 · Cited by 220 · see citing works

Distinguishability and Accessible Information in Quantum TheoryPreprint

Fuchs, A. (1996) · arXiv (Cornell University) · doi:10.48550/arxiv.quant-ph/9601020 · Cited by 227 · see citing works

Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and Applications

Shang, F., Cheng, J. S.-C., Liu, Y., Luo, Z.-Q. T., & Lin, Z. (2017) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2017.2748590 · Cited by 173 · see citing works

Hessian Schatten-Norm Regularization for Linear Inverse Problems

Lefkimmiatis, S., Ward, J. P., & Unser, M. A. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2237919 · Cited by 172 · see citing works

Joint Design of Overlaid Communication Systems and Pulsed Radars

Zheng, L., Lops, M., Wang, X., & Grossi, E. (2017) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2017.2755603 · Cited by 170 · see citing works

Randomized benchmarking with confidence

Wallman, J. J., & Flammia, S. T. (2014) · New Journal of Physics · doi:10.1088/1367-2630/16/10/103032 · Cited by 163 · see citing works

Reweighted nuclear norm minimization with application to system identification

Mohan, K., & Fazel, M. (2010) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2010.5531594 · Cited by 156 · see citing works

Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm

Xia, W., Zhang, X., Gao, Q., Shu, X., Han, J., & Gao, X. (2021) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3052352 · Cited by 135 · see citing works

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

Jiang, T.-X., Huang, T., Zhao, X.-L., & Deng, L.-J. (2019) · Journal of Computational and Applied Mathematics · doi:10.1016/j.cam.2019.112680 · Cited by 134 · see citing works

From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration

Zha, Z., Yuan, X., Wen, B., Zhou, J., Zhang, J., & Zhu, C. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2958309 · Cited by 116 · see citing works

Robust principal component analysis via capped norms

Sun, Q., Xiang, S., & Ye, J. (2013) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/2487575.2487604 · Cited by 96 · see citing works

Posterior contraction in sparse Bayesian factor models for massive covariance matricesPreprint

Pati, D., Bhattacharya, A., Pillai, N. S., & Dunson, D. B. (2012) · Cited by 96 · see citing works

Quantum dynamical speedup in a nonequilibrium environment

Cai, X.-J., & Zheng, Y. (2017) · Physical Review A · doi:10.1103/physreva.95.052104 · Cited by 92 · see citing works

Low-rank tensor constrained co-regularized multi-view spectral clustering

Xu, H., Zhang, X., Xia, W., Gao, Q., & Gao, X. (2020) · Neural Networks · doi:10.1016/j.neunet.2020.08.019 · Cited by 89 · see citing works

Random quantum batteries

Caravelli, F., Wit, G. C.-D., García-Pintos, L. P., & Hamma, A. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.023095 · Cited by 89 · see citing works

Poisson Image Reconstruction With Hessian Schatten-Norm Regularization

Lefkimmiatis, S., & Unser, M. A. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2013.2271852 · Cited by 81 · see citing works

Multi-Patch Collaborative Point Cloud Denoising via Low-Rank Recovery with Graph Constraint

Chen, H., Wei, M., Sun, Y., Xie, X., & Wang, J. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2920817 · Cited by 80 · see citing works

Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns

Nie, T., Qin, G., & Sun, J. (2022) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2022.103737 · Cited by 80 · see citing works

Robust Joint Beamforming and Jamming for Secure AF Networks: Low-Complexity Design

Wang, C., & Wang, H. (2014) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2014.2334640 · Cited by 70 · see citing works

Network Enrichment Analysis in Complex Experiments

Shojaie, A., & Michailidis, G. C. (2010) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1483 · Cited by 70 · see citing works

Logarithmic Norm Regularized Low-Rank Factorization for Matrix and Tensor Completion

Chen, L., Jiang, X., Liu, X., & Zhou, Z. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3061908 · Cited by 68 · see citing works

Posterior contraction in sparse Bayesian factor models for massive covariance matrices

Pati, D., Bhattacharya, A., Pillai, N. S., & Dunson, D. (2014) · The Annals of Statistics · doi:10.1214/14-aos1215 · Cited by 68 · see citing works

Large Graph Hashing with Spectral Rotation

Li, X., Hu, D., & Nie, F. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v31i1.10875 · Cited by 69 · see citing works

Quaternion-based weighted nuclear norm minimization for color image denoising

Yu, Y., Zhang, Y., & Yuan, S. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.12.034 · Cited by 66 · see citing works

Intelligent Reflecting Surface Enabled Multi-Target Sensing

Meng, K., Wu, Q., Schober, R., & Chen, W. (2022) · IEEE Transactions on Communications · doi:10.1109/tcomm.2022.3217564 · Cited by 64 · see citing works

Spectral Compressed Sensing via Projected Gradient Descent

Jian-feng Cai, A., Wang, T., & Wei, K. (2018) · SIAM Journal on Optimization · doi:10.1137/17m1141394 · Cited by 63 · see citing works

Open source Matrix Product States: Opening ways to simulate entangled many-body quantum systems in one dimension

Jaschke, D., Wall, M. L., & Carr, L. D. (2017) · Computer Physics Communications · doi:10.1016/j.cpc.2017.12.015 · Cited by 59 · see citing works

Non-convex weighted ℓ nuclear norm based ADMM framework for image restoration

Zha, Z., Zhang, X., Wu, Y. M., Wang, Q., Liu, X., Tang, L., & Yuan, X. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.05.073 · Cited by 61 · see citing works

Characterizing Genuine Multilevel Entanglement

Kraft, T., Ritz, C., Brunner, N., Huber, M., & Gühne, O. (2018) · Physical Review Letters · doi:10.1103/physrevlett.120.060502 · Cited by 58 · see citing works

Finite-horizon covariance control of linear time-varying systems

Goldshtein, M., & Panagiotis Tsiotras, B. (2017) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2017.8264189 · Cited by 58 · see citing works

Thermodynamic length for far-from-equilibrium quantum systems

Deffner, S., & Lutz, E. (2013) · Physical Review E · doi:10.1103/physreve.87.022143 · Cited by 56 · see citing works

Wrinkles as the Result of Compressive Stresses in an Annular Thin Film

Bella, P., & Kohn, R. V. (2013) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.21471 · Cited by 57 · see citing works

Spectral Alignment of Graphs

Feizi, S., Quon, G., Recamonde‐Mendoza, M., Médard, M., Kellis, M., & Jadbabaie, A. (2019) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2019.2913233 · Cited by 57 · see citing works

Robust Low-Rank Tensor Recovery via Nonconvex Singular Value Minimization

Chen, L., Jiang, X., Liu, X., & Zhou, Z. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2020.3023798 · Cited by 57 · see citing works

Quantum state discrimination: A geometric approach

Markham, D., Miszczak, J. A., Puchała, Z., & Życzkowski, K. (2008) · Physical Review A · doi:10.1103/physreva.77.042111 · Cited by 55 · see citing works

Multiple kernel low-rank representation-based robust multi-view subspace clustering

Zhang, X., Ren, Z., Sun, H., Bai, K., Feng, X., & Liu, Z. (2020) · Information Sciences · doi:10.1016/j.ins.2020.10.059 · Cited by 53 · see citing works

Subgraph sparsification and nearly optimal ultrasparsifiers

Kolla, A., Makarychev, Y., Saberi, A., & Teng, S. (2010) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/1806689.1806699 · Cited by 53 · see citing works

Covert communication over classical-quantum channels

Sheikholeslami, A., Bash, B. A., Towsley, D., Goeckel, D., & Guha, S. (2016) · IEEE International Symposium on Information Theory (ISIT) · doi:10.1109/isit.2016.7541662 · Cited by 53 · see citing works

Dropping Convexity for Faster Semi-definite OptimizationPreprint

Bhojanapalli, S., Kyrillidis, A., & Sanghavi, S. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1509.03917 · Cited by 51 · see citing works

Reweighted Nuclear Norm and Reweighted Frobenius Norm Minimizations for Narrowband RFI Suppression on SAR System

Huang, Y., Liao, G., Xiang, Y., Zhang, Z., Li, J., & Nehorai, A. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2903579 · Cited by 48 · see citing works

Low-Rank Approximation via Generalized Reweighted Iterative Nuclear and Frobenius Norms

Huang, Y., Liao, G., Xiang, Y., Zhang, L., Li, J., & Nehorai, A. (2019) · IEEE Transactions on Image Processing · doi:10.1109/tip.2019.2949383 · Cited by 47 · see citing works

Entanglement asymmetry in the ordered phase of many-body systems: the Ising field theory

Capizzi, L., & Mazzoni, M. (2023) · Journal of High Energy Physics · doi:10.1007/jhep12(2023)144 · Cited by 46 · see citing works

Device-independent quantum key distribution from generalized CHSH inequalities

Sekatski, P., Bancal, J.-D., Valcarce, X., Tan, E. Y.-Z., Renner, R., & Sangouard, N. (2021) · Quantum · doi:10.22331/q-2021-04-26-444 · Cited by 46 · see citing works

Fundamental limits to radiative heat transfer: Theory

Molesky, S., Venkataram, P. S., Jin, W., & Rodríguez, A. W. (2020) · Physical review. B./Physical review. B · doi:10.1103/physrevb.101.035408 · Cited by 45 · see citing works

Device-independent quantum key distribution from generalized CHSH inequalities

Sekatski, P., Bancal, J.-D., Valcarce, X., Tan, E. Y.-Z., Renner, R., & Sangouard, N. (2021) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000493926 · Cited by 44 · see citing works

Temporal Entanglement in Chaotic Quantum Circuits

Foligno, A., Zhou, T., & Bertini, B. (2023) · Physical Review X · doi:10.1103/physrevx.13.041008 · Cited by 43 · see citing works

On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition

Song, Y., Sebe, N., & Wang, W. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3178802 · Cited by 40 · see citing works

Anomaly-Tolerant Network Traffic Estimation via Noise-Immune Temporal Matrix Completion Model

Xiao, F., Chen, L., Zhu, H., Hong, R., & Wang, R. (2019) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2019.2904347 · Cited by 39 · see citing works

Throughput Maximization for Intelligent Reflecting Surface Aided MIMO WPCNs With Different DL/UL Reflection Patterns

Gong, S., Xing, C., Wang, S., Zhao, L. Y., & An, J. (2021) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3073813 · Cited by 38 · see citing works

Kaczmarz Method for Solving Quadratic Equations

Chi, Y., & Lu, Y. M. (2016) · IEEE Signal Processing Letters · doi:10.1109/lsp.2016.2590468 · Cited by 37 · see citing works

Robust subspace clustering based on non-convex low-rank approximation and adaptive kernel

Xue, X., Zhang, X., Feng, X., Sun, H., Chen, W. R., & Liu, Z. (2019) · Information Sciences · doi:10.1016/j.ins.2019.10.058 · Cited by 37 · see citing works

Stable estimation of a covariance matrix guided by nuclear norm penalties

Chi, E. C., & Lange, K. L. (2014) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2014.06.018 · Cited by 36 · see citing works

Artificial quantum thermal bath: Engineering temperature for a many-body quantum system

Shabani, A., & Neven, H. (2016) · Physical Review A · doi:10.1103/physreva.94.052301 · Cited by 36 · see citing works

Discrete Spectral Hashing for Efficient Similarity Retrieval

Hu, D., Nie, F., & Li, X. (2018) · IEEE Transactions on Image Processing · doi:10.1109/tip.2018.2875312 · Cited by 36 · see citing works

Optimization of LPI-FDA-MIMO Radar and MIMO Communication for Spectrum Coexistence

Gong, P., Xu, K., Wu, Y., Zhang, J., & So, H. C. (2023) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2023.3261419 · Cited by 35 · see citing works

The Cauchy interlacing theorem in simple Euclidean Jordan algebras and some consequences

Gowda, M. S., & Tao, J. (2010) · Linear and Multilinear Algebra · doi:10.1080/03081080903346425 · Cited by 35 · see citing works

Accuracy of Pseudo-Inverse Covariance Learning—A Random Matrix Theory Analysis

Hoyle, D. C. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.186 · Cited by 35 · see citing works

Quaternion-based color image completion via logarithmic approximation

Yang, L., Miao, J., & Kou, K. I. (2021) · Information Sciences · doi:10.1016/j.ins.2021.12.055 · Cited by 33 · see citing works

Model Order Reduction by Krylov Subspace Methods with Global Error Bounds and Automatic Choice of Parameters

Panzer, H. K. F. (2014) · mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) · Cited by 30 · see citing works

A Novel Regularized Model for Third-Order Tensor Completion

Yang, Y., Han, L., Liu, Y., Zhu, J., & Yan, H. (2021) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2021.3086363 · Cited by 29 · see citing works

The exponentiated Hencky-logarithmic strain energy. Improvement of planar polyconvexity

Ghiba, I., Neff, P., & Šilhavý, M. (2015) · International Journal of Non-Linear Mechanics · doi:10.1016/j.ijnonlinmec.2015.01.009 · Cited by 28 · see citing works

Daemonic Ergotropy: Generalised Measurements and Multipartite Settings

Bernards, F., Kleinmann, M., Gühne, O., & Paternostro, M. (2019) · Entropy · doi:10.3390/e21080771 · Cited by 28 · see citing works

Diffusive scaling of Rényi entanglement entropy

Zhou, T., & Ludwig, A. W. W. (2020) · Physical Review Research · doi:10.1103/physrevresearch.2.033020 · Cited by 30 · see citing works

Optimal local work extraction from bipartite quantum systems in the presence of Hamiltonian couplings

Salvia, R., Palma, G. D., & Giovannetti, V. (2023) · Physical Review A · doi:10.1103/physreva.107.012405 · Cited by 27 · see citing works

A Note on von Neumann's Trace Inequalitv

Grigorieff, R. D. (1991) · Mathematische Nachrichten · doi:10.1002/mana.19911510122 · Cited by 25 · see citing works

Flexible results for quadratic forms with applications to variance components estimation

Dicker, L. H., & Erdogdu, M. A. (2017) · The Annals of Statistics · doi:10.1214/16-aos1456 · Cited by 23 · see citing works

Homogeneity Pursuit in Single Index Models based Panel Data Analysis

Lian, H., Qiao, X., & Zhang, W. (2019) · Journal of Business and Economic Statistics · doi:10.1080/07350015.2019.1665531 · Cited by 25 · see citing works

Infrared small target detection via incorporating spatial structural prior into intrinsic tensor sparsity regularization

Zhou, F., Wu, Y., & Dai, Y. (2021) · Digital Signal Processing · doi:10.1016/j.dsp.2021.102966 · Cited by 24 · see citing works

Effective and Scalable Clustering on Massive Attributed Graphs

Yang, R., Shi, J. Y., Yang, Y., Huang, K., Zhang, S., & Xiao, X. (2021) · International World Wide Web Conference (WWW) · doi:10.1145/3442381.3449875 · Cited by 23 · see citing works

Reweighted Low-Rank Factorization With Deep Prior for Image Restoration

Chen, L., Jiang, X., Liu, X., & Haardt, M. (2022) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2022.3183466 · Cited by 23 · see citing works

Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach

Luo, Q., Yang, M., Li, W., & Xiao, M. (2023) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3587034 · Cited by 23 · see citing works

Analysis of a natural gradient algorithm on monotonic convex-quadratic-composite functions

Akimoto, Y. (2012) · Genetic and Evolutionary Computation Conference (GECCO) · doi:10.1145/2330163.2330343 · Cited by 23 · see citing works

Constructing All Smallest Simultaneous Confidence Sets in a Given Class with Applications to MANOVA

Wijsman, R. A. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344784 · Cited by 23 · see citing works

Low-rank sparse feature selection for image classification

Wang, W., Ma, J., Xu, C., Zhang, Y., Ding, Y., Yu, S., Zhang, Y., & Liu, Y. (2021) · Expert Systems with Applications · doi:10.1016/j.eswa.2021.115685 · Cited by 22 · see citing works

The bounds of restricted isometry constants for low rank matrices recovery

Wang, H., & Li, S. (2013) · Science China Mathematics · doi:10.1007/s11425-013-4624-y · Cited by 22 · see citing works

Scaling-Rotation Distance and Interpolation of Symmetric Positive-Definite Matrices

Jung, S., Schwartzman, A., & Groisser, D. (2015) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/140967040 · Cited by 22 · see citing works

Blind Central-Symmetry-Based Feature Detection for Spatial Spectrum Sensing

Liu, C., Li, H., & Jin, M. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2550608 · Cited by 22 · see citing works

Dynamic MRI reconstruction from highly undersampled ( k , t )-space data using weighted Schatten p -norm regularizer of tensor

Yang, X., Luo, Y., Chen, S., Zhen, X., Yu, Q., & Liu, K. (2016) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2016.10.025 · Cited by 22 · see citing works

Reinforced Robust Principal Component Pursuit

Brahma, P. P., She, Y., Li, S., Li, J., & Wu, D. O. (2017) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2017.2671849 · Cited by 22 · see citing works

Regularized Computation of Approximate Pseudoinverse of Large Matrices Using Low-Rank Tensor Train Decompositions

Lee, N., & Cichocki, A. S. (2016) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/15m1028479 · Cited by 21 · see citing works

The Proximity Operator of the Log-Sum Penalty

Prater-Bennette, A., Shen, L., & Tripp, E. E. (2022) · Journal of Scientific Computing · doi:10.1007/s10915-022-02021-4 · Cited by 21 · see citing works

Quaternion weighted Schatten p -norm minimization for color image restoration with convergence guarantee

Zhang, Q., He, L., Wang, Y., Deng, L.-J., & Liu, J. (2024) · Signal Processing · doi:10.1016/j.sigpro.2024.109382 · Cited by 21 · see citing works

Weighted truncated nuclear norm regularization for low-rank quaternion matrix completion

Yang, L., Kou, K. I., & Miao, J. (2021) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2021.103335 · Cited by 21 · see citing works

A trace inequality with a subtracted term

Miranda, H. F., & Thompson, R. C. (1993) · Linear Algebra and its Applications · doi:10.1016/0024-3795(93)90211-6 · Cited by 21 · see citing works

Iterative Double Laplacian-Scaled Low-Rank Optimization for Under-Sampled and Noisy Signal Recovery

Zhao, Q., Du, Q., Sun, W., & Chen, Y. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2925376 · Cited by 20 · see citing works

Subtleties of witnessing quantum coherence in nonisolated systems

Knee, G. C., Marcus, M., Smith, L. D., & Datta, A. (2018) · Physical Review A · doi:10.1103/physreva.98.052328 · Cited by 19 · see citing works

Real-valued DOA estimation with unknown number of sources via reweighted nuclear norm minimization

Sun, F., Wu, Q., Lan, P., Ding, G., & Chen, L. (2018) · Signal Processing · doi:10.1016/j.sigpro.2018.02.014 · Cited by 20 · see citing works

Optimality of the trace of a product of matrices

Héctor Miranda, P. (2018) · Proyecciones (Antofagasta) · doi:10.22199/s07160917.1999.0001.00005 · Cited by 2 · see citing works

A supplement to the von Neumann trace inequality for singular values

Miranda, H. F., & Thompson, R. C. (1996) · Linear Algebra and its Applications · doi:10.1016/0024-3795(95)00157-3 · Cited by 7 · see citing works

von Neumann’s trace inequality for Hilbert–Schmidt operators

Carlsson, M. (2020) · Expositiones Mathematicae · doi:10.1016/j.exmath.2020.05.001 · Cited by 19 · see citing works

A Note on von Neumann's Trace Inequalitv

Grigorieff, R. D. (1991) · Mathematische Nachrichten · doi:10.1002/mana.19911510122 · Cited by 25 · see citing works

Von Neumann's trace inequality for tensors

Chrétien, S., & Wei, T. (2015) · Linear Algebra and its Applications · doi:10.1016/j.laa.2015.05.015 · Cited by 10 · see citing works