Nadya T. Bliss

Publication Activity (10 Years)

Years Active: 2007-2015
Publications (10 Years): 2

Top Topics

Similarity Metrics

Anomaly Detection

Random Graph Models

Top Venues

IEEE Signal Process. Lett.

Publications

Benjamin A. Miller, Michelle S. Beard, Patrick J. Wolfe, Nadya T. Bliss
A Spectral Framework for Anomalous Subgraph Detection. IEEE Trans. Signal Process. 63 (16) (2015)
Benjamin A. Miller, Michelle S. Beard, Manfred D. Laubichler, Nadya T. Bliss
Temporal and multi-source fusion for detection of innovation in collaboration networks. FUSION (2015)
Benjamin A. Miller, Nicholas Arcolano, Michael M. Wolf, Nadya T. Bliss
Spectral Anomaly Detection in Very Large Graphs: Models, Noise, and Computational Complexity. CoRR (2014)
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe, Michelle S. Beard
A Spectral Framework for Anomalous Subgraph Detection. CoRR (2014)
Nadya T. Bliss, B. R. Erick Peirson, Deryc T. Painter, Manfred D. Laubichler
Anomalous subgraph detection in publication networks: Leveraging truth. ACSSC (2014)
Benjamin A. Miller, Nicholas Arcolano, Nadya T. Bliss
Efficient anomaly detection in dynamic, attributed graphs: Emerging phenomena and big data. ISI (2013)
David Whelihan, Jeffrey J. Hughes, Scott M. Sawyer, Eric Robinson, Michael M. Wolf, Sanjeev Mohindra, Julie Mullen, Anna Klein, Michelle S. Beard, Nadya T. Bliss, Johnnie Chan, Robert Hendry, Keren Bergman, Luca P. Carloni
P-sync: A Photonically Enabled Architecture for Efficient Non-local Data Access. IPDPS (2013)
Jeremy Kepner, William Arcand, William Bergeron, Nadya T. Bliss, Robert Bond, Chansup Byun, Gary Condon, Kenneth Gregson, Matthew Hubbell, Jonathan Kurz, Andrew McCabe, Peter Michaleas, Andrew Prout, Albert Reuther, Antonio Rosa, Charles Yee
Dynamic distributed dimensional data model (D4M) database and computation system. ICASSP (2012)
Nicholas Arcolano, Karl S. Ni, Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
Moments of parameter estimates for Chung-Lu random graph models. ICASSP (2012)
Benjamin A. Miller, Nicholas Arcolano, Michelle S. Beard, Jeremy Kepner, Matthew C. Schmidt, Nadya T. Bliss, Patrick J. Wolfe
A scalable signal processing architecture for massive graph analysis. ICASSP (2012)
Karl S. Ni, Ethan Phelps, Katherine L. Bouman, Nadya T. Bliss
Training image classifiers with similarity metrics, linear programming, and minimal supervision. ACSCC (2012)
Benjamin A. Miller, Nadya T. Bliss
A Stochastic System for Large Network Growth. IEEE Signal Process. Lett. 19 (6) (2012)
Benjamin A. Miller, Nadya T. Bliss
Toward matched filter optimization for subgraph detection in dynamic networks. SSP (2012)
Benjamin A. Miller, Lauren H. Stephens, Nadya T. Bliss
Goodness-of-fit statistics for anomaly detection in Chung-Lu random graphs. ICASSP (2012)
Karl S. Ni, Zachary Sun, Nadya T. Bliss
Real-time global motion blur detection. ICIP (2012)
Scott M. Sawyer, Karl S. Ni, Nadya T. Bliss
Cluster-based 3D reconstruction of aerial video. HPEC (2012)
Benjamin A. Miller, Michelle S. Beard, Nadya T. Bliss
Eigenspace analysis for threat detection in social networks. FUSION (2011)
Karl S. Ni, Zachary Sun, Nadya T. Bliss
3D image geo-registration using vision-based modeling. ICASSP (2011)
Karl S. Ni, Zachary Sun, Nadya T. Bliss, Noah Snavely
Construction and exploitation of a 3D model from 2D image features. Computational Imaging (2010)
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
Subgraph Detection Using Eigenvector L1 Norms. NIPS (2010)
Zachary Sun, Nadya T. Bliss, Karl S. Ni
A 3D feature model for image matching. ICASSP (2010)
Benjamin A. Miller, Nadya T. Bliss, Patrick J. Wolfe
Toward signal processing theory for graphs and non-Euclidean data. ICASSP (2010)
Nadya T. Bliss, Jeremy Kepner, Hahn Kim, Albert Reuther
pMATLAB: Parallel MATLAB Library for Signal Processing Applications. ICASSP (4) (2007)