Carey E. Priebe

Affiliations: 
Johns Hopkins University, Baltimore, MD 
Area:
Mathematics, Robotics Engineering
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"Carey Priebe"

Parents

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Edward J. Wegman grad student 1993 George Mason (MathTree)
 (Nonparametric Maximum Likelihood Estimation with Data-Driven Smoothing)

Children

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Dalei Chen grad student 2000 Johns Hopkins
Peng Tao grad student 2000 Johns Hopkins
Jason G. DeVinney grad student 2003 Johns Hopkins
Elvan Ceyhan grad student 2005 Johns Hopkins
Majnu John grad student 2005 Johns Hopkins
Kendall E. Giles grad student 2007 Johns Hopkins
Elizabeth Beer grad student 2009 Johns Hopkins
Andrey Rukhin grad student 2009 Johns Hopkins
Zhiliang Ma grad student 2010 Johns Hopkins
Ting Yang grad student 2010 Johns Hopkins
Adam J. Cardinal-Stakenas grad student 2011 Johns Hopkins
Joshua Tzvi Vogelstein post-doc (Neurotree)
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Publications

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Sussman D, Park Y, Priebe CE, et al. (2019) Matched Filters for Noisy Induced Subgraph Detection. Ieee Transactions On Pattern Analysis and Machine Intelligence
Priebe CE, Park Y, Vogelstein JT, et al. (2019) On a two-truths phenomenon in spectral graph clustering. Proceedings of the National Academy of Sciences of the United States of America
Vogelstein JT, Bridgeford EW, Wang Q, et al. (2019) Discovering and deciphering relationships across disparate data modalities. Elife. 8
Tang R, Ketcha M, Badea A, et al. (2018) Connectome Smoothing via Low-rank Approximations. Ieee Transactions On Medical Imaging
Rosen MA, Dietz AS, Lee N, et al. (2018) Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion. Plos One. 13: e0204819
Eichler K, Li F, Litwin-Kumar A, et al. (2017) The complete connectome of a learning and memory centre in an insect brain. Nature. 548: 175-182
Lee NH, Tang R, Priebe CE, et al. (2016) A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 2345-2358
Chen L, Vogelstein JT, Lyzinski V, et al. (2016) A joint graph inference case study: the C. elegans chemical and electrical connectomes. Worm. 5: e1142041
Lyzinski V, Fishkind DE, Fiori M, et al. (2016) Graph Matching: Relax at Your Own Risk. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 60-73
Suwan S, Lee DS, Tang R, et al. (2016) Empirical Bayes estimation for the stochastic blockmodel Electronic Journal of Statistics. 10: 761-782
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