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- Carey E. Priebe, John M. Conroy, David J. Marchette, Youngser Park
- Computational & Mathematical Organization Theory
- 2005

We introduce a theory of scan statistics on graphs and apply the ideas to the problem of anomaly detection in a time series of Enron email graphs. Corresponding author: Carey E. Priebe = <cep@jhu.edu>

- Narayanan Kasthuri, Kenneth J. Hayworth, +18 authors Jeff William Lichtman
- Cell
- 2015

We describe automated technologies to probe the structure of neural tissue at nanometer resolution and use them to generate a saturated reconstruction of a sub-volume of mouse neocortex in which all… (More)

Graph analysis performs many random reads and writes, thus, these workloads are typically performed in memory. Traditionally, analyzing large graphs requires a cluster of machines so the aggregate… (More)

- Joshua T. Vogelstein, Youngser Park, +4 authors Marta Zlatic
- Science
- 2014

A single nervous system can generate many distinct motor patterns. Identifying which neurons and circuits control which behaviors has been a laborious piecemeal process, usually for one… (More)

In this article we initiate the study of class cover catch digraphs, a special case of intersection digraphs motivated by applications in machine learning and statistical pattern recognition. Our… (More)

- Carey E. Priebe
- 2010

Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of… (More)

The consistent estimation of mixture complexity is of fundamental importance in many applications of finite mixture models. An enormous body of literature exists regarding the application,… (More)

- Carey E. Priebe, David J. Marchette, Jason DeVinney, Diego A. Socolinsky
- J. Classification
- 2003

- Carey E. Priebe, Youngser Park, David J. Marchette, John M. Conroy, John Grothendieck, Allen L. Gorin
- Computational Statistics & Data Analysis
- 2010

Fusion of information from graph features and content can provide superior inference for an anomaly detection task, compared to the corresponding content-only or graph featureonly statistics. In this… (More)

We present a comparative power analysis, via Monte Carlo, of various graph invariants used as statistics for testing graph homogeneity versus a “chatter” alternative—the existence of a local region… (More)