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- Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
- NIPS
- 2010

When working with network datasets, the theoretical framework of detection theory for Euclidean vector spaces no longer applies. Nevertheless, it is desirable to determine the detectability of small,â€¦ (More)

- Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
- 2010 IEEE International Conference on Acousticsâ€¦
- 2010

Graphs are canonical examples of high-dimensional non-Euclidean data sets, and are emerging as a common data structure in many fields. While there are many algorithms to analyze such data, a signalâ€¦ (More)

- Benjamin A. Miller, Michelle S. Beard, Nadya T. Bliss
- 14th International Conference on Informationâ€¦
- 2011

The problem of detecting a small, anomalous subgraph within a large background network is important and applicable to many fields. The non-Euclidean nature of graph data, however, complicates theâ€¦ (More)

- Benjamin A. Miller, Michelle S. Beard, Nadya T. Bliss
- 2011 IEEE Statistical Signal Processing Workshopâ€¦
- 2011

Graphs are high-dimensional, non-Euclidean data, whose utility spans a wide variety of disciplines. While their non-Euclidean nature complicates the application of traditional signal processingâ€¦ (More)

- Benjamin A. Miller, Lauren H. Stephens, Nadya T. Bliss
- 2012 IEEE International Conference on Acousticsâ€¦
- 2012

Anomaly detection in graphs is a relevant problem in numerous applications. When determining whether an observation is anomalous with respect to the model of typical behavior, the notion ofâ€¦ (More)

- Vijay Gadepally, Jake Bolewski, Dan Hook, Dylan Hutchison, Benjamin A. Miller, Jeremy Kepner
- 2015 IEEE International Parallel and Distributedâ€¦
- 2015

Big data and the Internet of Things era continue to challenge computational systems. Several technology solutions such as NoSQL databases have been developed to deal with this challenge. In order toâ€¦ (More)

- Benjamin A. Miller, Nicholas Arcolano, +4 authors Patrick J. Wolfe
- 2012 IEEE International Conference on Acousticsâ€¦
- 2012

In many applications, it is convenient to represent data as a graph, and often these datasets will be quite large. This paper presents an architecture for analyzing massive graphs, with a focus onâ€¦ (More)

For many Lincoln Laboratory mission areas, relationships between entities of interest are important. Over the years, much work has gone into the detection of entities, such as radio emissions,â€¦ (More)

- Navraj Singh, Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
- 2011 IEEE Statistical Signal Processing Workshopâ€¦
- 2011

Network datasets have become ubiquitous in many fields of study in recent years. In this paper we investigate a problem with applicability to a wide variety of domains — detecting small,â€¦ (More)

- Benjamin A. Miller, Nadya T. Bliss
- 2012 IEEE Statistical Signal Processing Workshopâ€¦
- 2012

This paper outlines techniques for optimization of filter coefficients in a spectral framework for anomalous subgraph detection. Restricting the scope to the detection of a known signal in i.i.d.â€¦ (More)