Nicholas Arcolano

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat On the distribution of the largest eigenvalue in principal components analysis 2001 Iain M. Johnstone
3
+ PDF Chat Finding community structure in networks using the eigenvectors of matrices 2006 M. E. J. Newman
3
+ Matrix Variate Distributions 2018 Arjun K. Gupta
Daya K. Nagar
2
+ On landmark selection and sampling in high-dimensional data analysis 2009 Mohamed-Ali Belabbas
Patrick J. Wolfe
2
+ Evaluation of cumulative probabilities for matrix variate Kummer-beta and matrix variate Kummer-gamma distributions 2003 Arjun K. Gupta
Daya K. Nagar
1
+ Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps 2005 Ronald R. Coifman
Stéphane Lafon
A. B. Lee
Mauro Maggioni
Boaz Nadler
Frederick Warner
Steven W. Zucker
1
+ PDF Chat Spectral methods in machine learning and new strategies for very large datasets 2009 Mohamed-Ali Belabbas
Patrick J. Wolfe
1
+ DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES 1967 V A Marčenko
L. А. Pastur
1
+ PDF Chat A well-conditioned estimator for large-dimensional covariance matrices 2003 Olivier Ledoit
Michael Wolf
1
+ PDF Chat Community Structure in Directed Networks 2008 E. A. Leicht
M. E. J. Newman
1
+ Modeling social networks from sampled data 2010 Mark S. Handcock
Krista J. Gile
1
+ The Spectra of Random Graphs with Given Expected Degrees 2004 Fan Chung
Linyuan LĂŒ
Van Vu
1
+ Connected Components in Random Graphs with Given Expected Degree Sequences 2002 Fan Chung
Linyuan LĂŒ
1
+ An iteration method for the solution of the eigenvalue problem of linear differential and integral operators 1950 Cornelius Lanczos
1
+ PDF Chat Statistical mechanics of complex networks 2002 RĂ©ka Albert
Albert‐László Barabási
1
+ PDF Chat The Structure and Function of Complex Networks 2003 Michael Newman
1
+ On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning 2005 Petros Drineas
Michael W. Mahoney
1
+ Subgraph Detection Using Eigenvector L1 Norms 2010 Benjamin A. Miller
Nadya Bliss
Patrick J. Wolfe
1
+ PDF Chat Point Process Modelling for Directed Interaction Networks 2013 Patrick O. Perry
Patrick J. Wolfe
1
+ A well conditioned estimator for large dimensional covariance matrices 2000 Michael Wolf
Olivier Ledoit
1
+ Estimation of a covariance matrix 1975 C. Stein
1
+ PDF Chat A Spectral Framework for Anomalous Subgraph Detection 2015 Benjamin A. Miller
Michelle S. Beard
Patrick J. Wolfe
Nadya Bliss
1
+ PDF Chat The principle of minimized iterations in the solution of the matrix eigenvalue problem 1951 Walter E. Arnoldi
1
+ PDF Chat Point Process Modeling for Directed Interaction Networks 2011 Patrick O. Perry
Patrick J. Wolfe
1
+ PDF Chat Empirical Bayes Estimation of the Multivariate Normal Covariance Matrix 1980 L. R. Haff
1
+ PDF Chat Spectra of random graphs with given expected degrees 2003 Fan Chung
Linyuan LĂŒ
Van Vu
1
+ PDF Chat Spectra of random graphs with community structure and arbitrary degrees 2014 Xiao Zhang
Raj Rao Nadakuditi
M. E. J. Newman
1