Carey E. Priebe
Carey E. Priebe
Professor of Applied Mathematics and Statistics, Johns Hopkins University
Verified email at - Homepage
Cited by
Cited by
Saturated reconstruction of a volume of neocortex
N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ...
Cell 162 (3), 648-661, 2015
Scan statistics on enron graphs
CE Priebe, JM Conroy, DJ Marchette, Y Park
Computational & Mathematical Organization Theory 11 (3), 229-247, 2005
The complete connectome of a learning and memory centre in an insect brain
K Eichler, F Li, A Litwin-Kumar, Y Park, I Andrade, CM Schneider-Mizell, ...
Nature 548 (7666), 175-182, 2017
Comparative evaluation of pattern recognition techniques for detection of microcalcifications in mammography
KS Woods, JL Solka, CE Priebe, WP Kegelmeyer Jr, CC Doss, ...
State of The Art in Digital Mammographic Image Analysis, 213-231, 1994
A consistent adjacency spectral embedding for stochastic blockmodel graphs
DL Sussman, M Tang, DE Fishkind, CE Priebe
Journal of the American Statistical Association 107 (499), 1119-1128, 2012
Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning
JT Vogelstein, Y Park, T Ohyama, RA Kerr, JW Truman, CE Priebe, ...
Science 344 (6182), 386-392, 2014
FlashGraph: Processing billion-node graphs on an array of commodity SSDs
D Zheng, D Mhembere, R Burns, J Vogelstein, CE Priebe, AS Szalay
13th {USENIX} conference on file and storage technologies ({FAST} 15), 45-58, 2015
Adaptive mixtures
CE Priebe
Journal of the American Statistical Association 89 (427), 796-806, 1994
Random forests for photometric redshifts
S Carliles, T Budavári, S Heinis, C Priebe, AS Szalay
The Astrophysical Journal 712 (1), 511, 2010
Statistical inference on random dot product graphs: a survey
A Athreya, DE Fishkind, M Tang, CE Priebe, Y Park, JT Vogelstein, ...
The Journal of Machine Learning Research 18 (1), 8393-8484, 2017
Graph matching: Relax at your own risk
V Lyzinski, DE Fishkind, M Fiori, JT Vogelstein, CE Priebe, G Sapiro
IEEE transactions on pattern analysis and machine intelligence 38 (1), 60-73, 2015
Universally consistent vertex classification for latent positions graphs
M Tang, DL Sussman, CE Priebe
The Annals of Statistics 41 (3), 1406-1430, 2013
Fast approximate quadratic programming for graph matching
JT Vogelstein, JM Conroy, V Lyzinski, LJ Podrazik, SG Kratzer, ET Harley, ...
PLOS one 10 (4), e0121002, 2015
Community detection and classification in hierarchical stochastic blockmodels
V Lyzinski, M Tang, A Athreya, Y Park, CE Priebe
IEEE Transactions on Network Science and Engineering 4 (1), 13-26, 2016
Consistent adjacency-spectral partitioning for the stochastic block model when the model parameters are unknown
DE Fishkind, DL Sussman, M Tang, JT Vogelstein, CE Priebe
SIAM Journal on Matrix Analysis and Applications 34 (1), 23-39, 2013
Perfect clustering for stochastic blockmodel graphs via adjacency spectral embedding
V Lyzinski, DL Sussman, M Tang, A Athreya, CE Priebe
Electronic journal of statistics 8 (2), 2905-2922, 2014
Consistent estimation of mixture complexity
LF James, DJ Marchette, CE Priebe
The Annals of Statistics 29 (5), 1281-1296, 2001
Locality statistics for anomaly detection in time series of graphs
H Wang, M Tang, Y Park, CE Priebe
IEEE Transactions on Signal Processing 62 (3), 703-717, 2013
Consistent latent position estimation and vertex classification for random dot product graphs
DL Sussman, M Tang, CE Priebe
IEEE transactions on pattern analysis and machine intelligence 36 (1), 48-57, 2013
Classification Using Class Cover Catch Digraphs
CEPDJ Marchette, JGDVDA Socolinsky
Journal of Classification 20, 3-23, 2003
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