CONFERENCE PAPERS

Benjamin A. Miler and Nicholas Arcolano. Spectral subgraph detection with corrupt observations, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2014.
IEEE Xplore • pre-print

Benjamin A. Miller, Nicholas Arcolano, and Nadya T. Bliss. Efficient anomaly detection in dynamic, attributed graphs, Proceedings of the IEEE Intelligence and Security Informatics Conference, 2013.
IEEE Xplore • pre-print

Nicholas Arcolano, Karl Ni, Benjamin A. Miller, Nadya T. Bliss, and Patrick J. Wolfe, Moments of parameters estimates for Chung-Lu random graph models, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2012.
IEEE Xplore • pre-print

Benjamin A. Miller, Nicholas Arcolano, Michelle S. Beard, Jeremy Kepner, Matthew C. Schmidt, Nadya T. Bliss, and Patrick J. Wolfe, A scalable signal processing architecture for massive graph analysis, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2012.
IEEE Xplore • pre-print

Nicholas Arcolano and Patrick J. Wolfe, Estimating principal components of large covariance matrices using the Nyström method, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2011.
IEEE Xplore • pre-print

Nicholas Arcolano and Patrick J. Wolfe, Nyström approximation of Wishart matrices, Proceedings of the IEEE Conference on Acoustics, Speech, and Signal Processing, 2010.
IEEE Xplore • pre-print

DISSERTATION

Nicholas Arcolano, Approximation of positive semidefinite matrices using the Nyström method, Ph.D. thesis, Harvard University, 2011.
PDF

OTHER PUBLICATIONS

Nicholas Arcolano and Patrick J. Wolfe, Estimating principal components of covariance matrices using the Nyström method, 2011.
PDF