Matrix Computations

Regularization and Variable Selection Via the Elastic Net

Zou, H., & Hastie, T. (2005) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2005.00503.x · Cited by 20,957 · see citing works

A Method for Registration of 3-D Shapes

Besl, P., & Mckay, N. D. (1992) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.121791 · Cited by 22,163 · see citing works

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

Candes, E. J., Romberg, J., & Tao, T. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.862083 · Cited by 15,639 · see citing works

Normalized cuts and image segmentation

Shi, J., & Malik, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868688 · Cited by 15,842 · see citing works

A flexible new technique for camera calibration

Zhang, Z. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.888718 · Cited by 15,004 · see citing works

Iterative Methods for Sparse Linear Systems

Saad, Y. E.-M. (2003) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898718003 · Cited by 13,931 · see citing works

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Boyd, S. (2010) · now publishers, Inc. eBooks · doi:10.1561/9781601984616 · Cited by 12,863 · see citing works

Gaussian Processes for Machine Learning

Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705 · see citing works

Community detection in graphs

Fortunato, S. (2010) · Physics Reports · doi:10.1016/j.physrep.2009.11.002 · Cited by 11,293 · see citing works

Complex networks: structure and dynamics

BOCCALETTI, S., LATORA, V, MORENO, Y., CHAVEZ, M., & HWANG, D. (2006) · Physics Reports · doi:10.1016/j.physrep.2005.10.009 · Cited by 11,010 · see citing works

Tensor Decompositions and Applications

Kolda, T. G., & Bader, B. W. (2009) · SIAM Review · doi:10.1137/07070111x · Cited by 10,595 · see citing works

A tutorial on spectral clustering

von Luxburg, U. (2007) · Statistics and Computing · doi:10.1007/s11222-007-9033-z · Cited by 10,519 · see citing works

Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit

Tropp, J. A., & Gilbert, A. C. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.909108 · Cited by 9,828 · see citing works

Least angle regression

Efron, B., Hastie, T., Johnstone, I., & Tibshirani, R. (2004) · The Annals of Statistics · doi:10.1214/009053604000000067 · Cited by 9,357 · see citing works

Least Squares Support Vector Machine Classifiers

Suykens, J., & Vandewalle, J. (1999) · Neural Processing Letters · doi:10.1023/a:1018628609742 · Cited by 9,481 · see citing works

Matching pursuits with time-frequency dictionaries

Mallat, S., & Zhang, Z. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.258082 · Cited by 9,023 · see citing works

Authoritative sources in a hyperlinked environment

Kleinberg, J. M. (1999) · Journal of the ACM · doi:10.1145/324133.324140 · Cited by 9,032 · see citing works

Multivariate Adaptive Regression Splines

Friedman, J. H. (1991) · The Annals of Statistics · doi:10.1214/aos/1176347963 · Cited by 8,108 · see citing works

CLUMPP: a cluster matching and permutation program for dealing with label switching and multimodality in analysis of population structure

Jakobsson, M., & Rosenberg, N. A. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm233 · Cited by 6,309 · see citing works

Top 10 algorithms in data mining

Wu, X., Kumar, V., Ross Quinlan, J., Ghosh, J., Yang, Q., Motoda, H., McLachlan, G. J., Ng, A., Liu, B., Yu, P. S., et al. (2008) · Knowledge and Information Systems · doi:10.1007/s10115-007-0114-2 · Cited by 5,667 · see citing works

Stability of Time-Delay Systems

Gu, K., Kharitonov, V., & Chen, J. (2003) · Control engineering · doi:10.1007/978-1-4612-0039-0 · Cited by 4,471 · see citing works

A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms

Berardino, P., Fornaro, G., Lanari, R., et al. (2002) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2002.803792 · Cited by 5,331 · see citing works

Power and Centrality: A Family of Measures

Bonacich, P. (1987) · American Journal of Sociology · doi:10.1086/228631 · Cited by 5,305 · see citing works

Atomic Decomposition by Basis Pursuit

Chen, S. S., Donoho, D. L., & Saunders, M. A. (2001) · SIAM Review · doi:10.1137/s003614450037906x · Cited by 5,030 · see citing works

Two decades of array signal processing research: the parametric approach

Krim, H., & Viberg, M. (1996) · IEEE Signal Processing Magazine · doi:10.1109/79.526899 · Cited by 4,774 · see citing works

Untitled work

(2002) · doi:10.1175/1520-0426(2002)019

Missing Value Estimation Methods for DNA Microarrays

Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., & Altman, R. B. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.6.520 · Cited by 4,230 · see citing works

Semi-Supervised Learning

Chapelle, O., Schölkopf, B., & Zien, A. (2006) · The MIT Press eBooks · doi:10.7551/mitpress/9780262033589.001.0001 · Cited by 4,560 · see citing works

wannier90: A tool for obtaining maximally-localised Wannier functions

Mostofi, A. A., Yates, J. R., Lee, Y., Souza, I., Vanderbilt, D. H., & Marzari, N. (2007) · Computer Physics Communications · doi:10.1016/j.cpc.2007.11.016 · Cited by 4,204 · see citing works

Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions

Halko, N., Martinsson, P., & Tropp, J. A. (2011) · SIAM Review · doi:10.1137/090771806 · Cited by 4,038 · see citing works

Bundle Adjustment — A Modern Synthesis

Triggs, B., McLauchlan, P. F., Hartley, R. I., & Fitzgibbon, A. W. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-44480-7_21 · Cited by 3,988 · see citing works

Essentials of robust control

Zhou, K. (1998) · Cited by 3,834 · see citing works

Robust Recovery of Subspace Structures by Low-Rank Representation

Liu, G., Lin, Z., Yan, S., Sun, J., Yu, Y. H., & Ma, Y. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.88 · Cited by 3,585 · see citing works

Improved approximation algorithms for maximum cut and satisfiability problems using semidefinite programming

Goemans, M. X., & Williamson, D. P. (1995) · Journal of the ACM · doi:10.1145/227683.227684 · Cited by 3,587 · see citing works

V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel

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Templates for the Solution of Linear Systems: Building Blocks for Iterative Methods

Barrett, R. F., Berry, M., Chan, T. F.-C., Demmel, J. W., Donato, J. M., Dongarra, J. J., Eijkhout, V. L., Pozo, R., Romine, C. H., & van der Vorst, H. A. (1994) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611971538 · Cited by 3,493 · see citing works

EPnP: An Accurate O(n) Solution to the PnP Problem

Lepetit, V., Moreno-Noguer, F., & Fua, P. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-008-0152-6 · Cited by 3,298 · see citing works

Canonical Correlation Analysis: An Overview with Application to Learning Methods

Hardoon, D. R., Szedmák, S., & Shawe-Taylor, J. S. (2004) · Neural Computation · doi:10.1162/0899766042321814 · Cited by 3,297 · see citing works

Optimization Methods for Large-Scale Machine Learning

Bottou, L., Curtis, F. E., & Nocedal, J. M. (2018) · SIAM Review · doi:10.1137/16m1080173 · Cited by 3,233 · see citing works

The spectral image processing system (SIPS)—interactive visualization and analysis of imaging spectrometer data

Kruse, F. A., Lefkoff, A. B., Boardman, J. W., Heidebrecht, K. B., Shapiro, A. T., Barloon, P. J., & Goetz, A. F. H. (1993) · Remote Sensing of Environment · doi:10.1016/0034-4257(93)90013-n · Cited by 3,193 · see citing works

Graphical Models, Exponential Families, and Variational Inference

Wainwright, M. J., & Jordan, M. I. (2007) · now publishers, Inc. eBooks · doi:10.1561/9781601981851 · Cited by 2,992 · see citing works

Incremental Learning for Robust Visual Tracking

Ross, D. A., Lim, J., Lin, R.-S., & Yang, M.-H. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0075-7 · Cited by 3,061 · see citing works

Comparing community structure identification

Danon, L., Dı́az-Guilera, A., Duch, J., & Arenas, À. (2005) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2005/09/p09008 · Cited by 2,888 · see citing works

Shape and motion from image streams under orthography: a factorization method

Tomasi, C., & Takeo Kanade, A. (1992) · International Journal of Computer Vision · doi:10.1007/bf00129684 · Cited by 2,879 · see citing works

A blind source separation technique using second-order statistics

Belouchrani, A., Abed‐Meraim, K., Cardoso, J.-F., & Moulines, É. (1997) · IEEE Transactions on Signal Processing · doi:10.1109/78.554307 · Cited by 2,774 · see citing works

Generalized reduced rank tests using the singular value decomposition

Kleibergen, F. R., & Paap, R. (2005) · Journal of Econometrics · doi:10.1016/j.jeconom.2005.02.011 · Cited by 2,786 · see citing works

The Geometry of Algorithms with Orthogonality Constraints

Edelman, A. S., Arias, T. A., & Smith, S. T. (1998) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/s0895479895290954 · Cited by 2,773 · see citing works

Blind beamforming for non-gaussian signals

Cardoso, J.-F., & Souloumiac, A. (1993) · IEE Proceedings F Radar and Signal Processing · doi:10.1049/ip-f-2.1993.0054 · Cited by 2,759 · see citing works

Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems

Helton, J. C., & Davis, F. J. (2003) · Reliability Engineering & System Safety · doi:10.1016/s0951-8320(03)00058-9 · Cited by 2,719 · see citing works

Distance Metric Learning with Application to Clustering with Side-Information

Xing, E. P., Jordan, M. I., Russell, S., & Ng, A. Y. (2002) · Cited by 2,700 · see citing works

A sparse signal reconstruction perspective for source localization with sensor arrays

Malioutov, D., Cetin, M., & Willsky, A. S. (2005) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2005.850882 · Cited by 2,638 · see citing works

Subspace Identification for Linear Systems

Overschee, P. V., & Moor, B. D. (1996) · Springer eBooks · doi:10.1007/978-1-4613-0465-4 · Cited by 2,593 · see citing works

Electronic structure calculations with dynamical mean-field theory

Kotliar, G., Savrasov, S. Y., Haule, K., Oudovenko, V. S., Parcollet, O., & Marianetti, C. A. (2006) · Reviews of Modern Physics · doi:10.1103/revmodphys.78.865 · Cited by 2,569 · see citing works

How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis

Fraley, C. (1998) · The Computer Journal · doi:10.1093/comjnl/41.8.578 · Cited by 2,549 · see citing works

Functional and effective connectivity in neuroimaging: a synthesis

Friston, K. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020107 · Cited by 2,452 · see citing works

Pattern Classification (2nd ed.)

Duda, R. O., Hart, P. E., & Stork, D. G. (1999) · Cited by 2,509 · see citing works

Modern Applied Statistics with S Fourth edition

Venables, W. N., & Ripley, B. D. (2002) · Cited by 2,538 · see citing works

A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models

Bilmes, J. A. (1998) · Cited by 2,463 · see citing works

Unsupervised Learning by Probabilistic Latent Semantic Analysis

Hofmann, T. (2001) · Machine Learning · doi:10.1023/a:1007617005950 · Cited by 2,455 · see citing works

Acquiring linear subspaces for face recognition under variable lighting

Lee, K.-C., Ho, J., & Kriegman, D. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.92 · Cited by 2,435 · see citing works

Numerical solution of saddle point problems

Benzi, M., Golub, G. H., & Liesen, J. (2005) · Acta Numerica · doi:10.1017/s0962492904000212 · Cited by 2,331 · see citing works

Online Learning for Matrix Factorization and Sparse CodingPreprint

Mairal, J., Bach, F., Ponce, J., & Sapiro, G. (2009) · arXiv (Cornell University) · doi:10.1145/1756006.1756008 · Cited by 2,305 · see citing works

Mining of Massive Datasets

Rajaraman, A., & Ullman, J. D. (2011) · Cambridge University Press eBooks · doi:10.1017/cbo9781139058452 · Cited by 2,287 · see citing works

Regularized Discriminant Analysis

Friedman, J. H. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478752 · Cited by 2,282 · see citing works

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

Bruckstein, A. M., Donoho, D. L., & Elad, M. (2009) · SIAM Review · doi:10.1137/060657704 · Cited by 2,141 · see citing works

Medical image registration

Hill, D. L. G., Batchelor, P. G., Holden, M., & Hawkes, D. J. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/3/201 · Cited by 2,093 · see citing works

Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models

Wood, S. (2004) · Journal of the American Statistical Association · doi:10.1198/016214504000000980 · Cited by 2,046 · see citing works

Procrustes Methods in the Statistical Analysis of Shape

Goodall, C. R. (1991) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.2517-6161.1991.tb01825.x · Cited by 2,032 · see citing works

Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations

Godara, L. C. (1997) · Proceedings of the IEEE · doi:10.1109/5.622504 · Cited by 2,075 · see citing works

Iterative Methods for Optimization

Kelley, C. T. (1999) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970920 · Cited by 2,065 · see citing works

Detecting community structure in networks

Newman, M. E. J. (2004) · The European Physical Journal B · doi:10.1140/epjb/e2004-00124-y · Cited by 2,031 · see citing works

A Survey of General‐Purpose Computation on Graphics Hardware

Owens, J. D., Luebke, D. P., Govindaraju, N. K., Harris, M., Krüger, J., Lefohn, A. E., & Purcell, T. J. (2007) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2007.01012.x · Cited by 2,107 · see citing works

Singular value decomposition for genome-wide expression data processing and modeling

Alter, O., Brown, P. O., & Botstein, D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.18.10101 · Cited by 1,989 · see citing works

Iterative methods for linear and nonlinear equations

Kelley, C. T. (1996) · Choice Reviews Online · doi:10.5860/choice.33-4556 · Cited by 1,982 · see citing works

Sparse representation or collaborative representation: Which helps face recognition?

Lei Zhang, A., Yang, M., & Feng, X. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126277 · Cited by 2,003 · see citing works

A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems

Benner, P., Gugercin, S., & Willcox, K. E. (2015) · SIAM Review · doi:10.1137/130932715 · Cited by 1,959 · see citing works

A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation

Mourikis, A. I., & Roumeliotis, S. I. (2007) · Proceedings 2007 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.2007.364024 · Cited by 1,951 · see citing works

Self-Tuning Spectral Clustering

Zelnik‐Manor, L., & Perona, P. (2004) · CaltechAUTHORS (California Institute of Technology) · Cited by 1,884 · see citing works

A signal processing approach to fair surface design

Taubin, G. (1995) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/218380.218473 · Cited by 1,876 · see citing works

Word sense disambiguation

Roberto Navigli, A. (2009) · ACM Computing Surveys · doi:10.1145/1459352.1459355 · Cited by 1,843 · see citing works

Authoritative sources in a hyperlinked environment

Kleinberg, J. M. (1998) · Symposium on Discrete Algorithms · doi:10.5555/314613.315045 · Cited by 1,815 · see citing works

The least-squares ambiguity decorrelation adjustment: a method for fast GPS integer ambiguity estimation

Teunissen, P. J. G. (1995) · Journal of Geodesy · doi:10.1007/bf00863419 · Cited by 1,823 · see citing works

Principal component analysis

Greenacre, M. J., Groenen, P. J. F., Hastie, T. J., D’Enza, A. I., Markos, A., & Tuzhilina, E. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00184-w · Cited by 1,936 · see citing works

Global and target analysis of time-resolved spectra

van Stokkum, I. H. M., Larsen, D. S., & van Grondelle, R. (2004) · Biochimica et Biophysica Acta (BBA) - Bioenergetics · doi:10.1016/j.bbabio.2004.04.011 · Cited by 1,758 · see citing works

What every computer scientist should know about floating-point arithmetic

Goldberg, D. T. (1991) · ACM Computing Surveys · doi:10.1145/103162.103163 · Cited by 1,760 · see citing works

REGULARIZATION TOOLS: A Matlab package for analysis and solution of discrete ill-posed problems

Hansen, P. C. (1994) · Numerical Algorithms · doi:10.1007/bf02149761 · Cited by 1,725 · see citing works

Co-clustering documents and words using bipartite spectral graph partitioning

Dhillon, I. S. (2001) · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/502512.502550 · Cited by 1,726 · see citing works

Partitioning Sparse Matrices with Eigenvectors of Graphs

Pothen, A., Simon, H. D., & Liou, K.-P. (1990) · SIAM Journal on Matrix Analysis and Applications · doi:10.1137/0611030 · Cited by 1,703 · see citing works

Large steps in cloth simulation

Baraff, D., & Witkin, A. (1998) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/280814.280821 · Cited by 1,702 · see citing works

Detection algorithm and initial laboratory resultsusing V-BLAST space-time communication architecture

Golden, G. D., Foschini, C. J., Valenzuela, R. A., et al. (1999) · Electronics Letters · doi:10.1049/el:19990058 · Cited by 1,636 · see citing works

On the interpretation of weight vectors of linear models in multivariate neuroimaging

Haufe, S., Meinecke, F. C., Görgen, K., Dähne, S., Haynes, J., Blankertz, B., & Bießmann, F. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.067 · Cited by 1,367 · see citing works

Some Unique Properties of Eigenvector Centrality

Bonacich, P. (2007) · Social Networks · doi:10.1016/j.socnet.2007.04.002 · Cited by 1,572 · see citing works

Lambertian reflectance and linear subspaces

Basri, R., & Jacobs, D. W. (2003) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2003.1177153 · Cited by 1,589 · see citing works

Untitled work

(1992) · doi:10.1175/1520-0442(1992)005

Linear systems with state and control constraints: the theory and application of maximal output admissible sets

Gilbert, É., & Tan, K. T. (1991) · IEEE Transactions on Automatic Control · doi:10.1109/9.83532 · Cited by 1,567 · see citing works

Simplifying chemical kinetics: Intrinsic low-dimensional manifolds in composition space

Maas, U., & Pope, S. B. (1992) · Combustion and Flame · doi:10.1016/0010-2180(92)90034-m · Cited by 1,554 · see citing works

Grassmannian beamforming for multiple-input multiple-output wireless systems

Love, D. J., Heath, R. W., & Strohmer, T. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.817466 · Cited by 1,539 · see citing works

Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit

Donoho, D. L., Tsaig, Y., Drori, I., & Starck, J. (2012) · IEEE Transactions on Information Theory · doi:10.1109/tit.2011.2173241 · Cited by 1,495 · see citing works

Graph based anomaly detection and description: a survey

Akoglu, L., Tong, H., & Koutra, D. (2015) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-014-0365-y · Cited by 1,504 · see citing works

General multilevel linear modeling for group analysis in FMRI

Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00435-x · Cited by 1,464 · see citing works

Matrix perturbation theory

(1991) · Mathematics and Computers in Simulation · doi:10.1016/0378-4754(91)90038-5 · Cited by 2,474 · see citing works

Numerical optimization

Braun, W. J., & Murdoch, D. J. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108993456.011 · Cited by 14,099 · see citing works

Matrix Analysis

Horn, R. A., & Johnson, C. R. (1985) · Cited by 22,203 · see citing works

Methods of conjugate gradients for solving linear systems

Hestenes, M. R., & Stiefel, E. L. (1952) · Journal of research of the National Bureau of Standards · doi:10.6028/jres.049.044 · Cited by 8,142 · see citing works

Convex Optimization

Boyd, S., & Vandenberghe, L. (2004) · doi:10.1017/cbo9780511804441 · Cited by 56,601 · see citing works