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Carey E. Priebe
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2020 – today
- 2022
- [i51]Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - [i50]Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe:
Mental State Classification Using Multi-graph Features. CoRR abs/2203.00516 (2022) - [i49]Rajeev Yasarla, Carey E. Priebe, Vishal Patel:
ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images. CoRR abs/2203.09275 (2022) - 2021
- [j90]Donniell E. Fishkind
, Felix Parker, Hamilton Sawczuk, Lingyao Meng, Eric Bridgeford, Avanti Athreya, Carey E. Priebe, Vince Lyzinski:
The phantom alignment strength conjecture: practical use of graph matching alignment strength to indicate a meaningful graph match. Appl. Netw. Sci. 6(1): 62 (2021) - [j89]Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette:
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. J. Comput. Graph. Stat. 30(2): 422-441 (2021) - [j88]Jesús Arroyo, Daniel L. Sussman
, Carey E. Priebe, Vince Lyzinski:
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. J. Comput. Graph. Stat. 30(4): 1111-1123 (2021) - [j87]Jesús Arroyo, Avanti Athreya, Joshua Cape
, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein:
Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace. J. Mach. Learn. Res. 22: 142:1-142:49 (2021) - [j86]Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe:
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings. J. Mach. Learn. Res. 22: 194:1-194:59 (2021) - [j85]Shangsi Wang
, Jesús Arroyo
, Joshua T. Vogelstein, Carey E. Priebe
:
Joint Embedding of Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1324-1336 (2021) - [j84]Eric W. Bridgeford
, Shangsi Wang
, Zeyi Wang
, Ting Xu
, R. Cameron Craddock
, Jayanta Dey
, Gregory Kiar
, William R. Gray Roncal
, Carlo Colantuoni, Christopher Douville
, Stephanie Noble
, Carey E. Priebe
, Brian Caffo, Michael Milham
, Xi-Nian Zuo
, Joshua T. Vogelstein
:
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. 17(9) (2021) - [j83]Jesús Arroyo
, Carey E. Priebe
, Vince Lyzinski:
Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question. IEEE Trans. Netw. Sci. Eng. 8(4): 3019-3033 (2021) - [c27]Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. EMNLP (Findings) 2021: 738-749 - [i48]Al-Fahad M. Al-Qadhi, Carey E. Priebe, Hayden S. Helm, Vince Lyzinski:
Subgraph nomination: Query by Example Subgraph Retrieval in Networks. CoRR abs/2101.12430 (2021) - [i47]Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher M. White, Ali Geisa, Carey E. Priebe:
Inducing a hierarchy for multi-class classification problems. CoRR abs/2102.10263 (2021) - [i46]Zachary Lubberts, Avanti Athreya, Youngser Park, Carey E. Priebe:
Beyond the adjacency matrix: random line graphs and inference for networks with edge attributes. CoRR abs/2103.14726 (2021) - [i45]Jonathan Larson, Tiona Zuzul, Emily Cox Pahnke, Neha Parikh Shah, Patrick Bourke, Nicholas Caurvina, Fereshteh Amini, Youngser Park, Joshua T. Vogelstein, Jeffrey Weston, Christopher M. White, Carey E. Priebe:
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic. CoRR abs/2104.00641 (2021) - [i44]Hayden S. Helm, Marah Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, Piali Choudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe:
Leveraging semantically similar queries for ranking via combining representations. CoRR abs/2106.12621 (2021) - [i43]Gecia Bravo Hermsdorff, Lee M. Gunderson, Pierre-André G. Maugis, Carey E. Priebe:
A principled (and practical) test for network comparison. CoRR abs/2107.11403 (2021) - [i42]Kelly Marchisio, Youngser Park, Ali Saad-Eldin, Anton Alyakin, Kevin Duh, Carey E. Priebe, Philipp Koehn:
An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces. CoRR abs/2109.12640 (2021) - [i41]Cencheng Shen, Qizhe Wang, Carey E. Priebe:
Graph Encoder Embedding. CoRR abs/2109.13098 (2021) - [i40]Ali Geisa, Ronak D. Mehta, Hayden S. Helm, Jayanta Dey, Eric Eaton, Carey E. Priebe, Joshua T. Vogelstein:
Towards a theory of out-of-distribution learning. CoRR abs/2109.14501 (2021) - [i39]Ali Saad-Eldin, Benjamin D. Pedigo, Carey E. Priebe, Joshua T. Vogelstein:
Graph Matching via Optimal Transport. CoRR abs/2111.05366 (2021) - 2020
- [j82]Jordan Yoder, Li Chen, Henry Pao, Eric Bridgeford, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe, Vince Lyzinski:
Vertex nomination: The canonical sampling and the extended spectral nomination schemes. Comput. Stat. Data Anal. 145: 106916 (2020) - [j81]Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein:
Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 21: 104:1-104:39 (2020) - [j80]Nian Wang
, Robert J. Anderson
, David G. Ashbrook
, Vivek Gopalakrishnan
, Youngser Park, Carey E. Priebe
, Yi Qi, Rick Laoprasert, Joshua T. Vogelstein, Robert W. Williams
, G. Allan Johnson
:
Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains. NeuroImage 222: 117274 (2020) - [j79]Daniel L. Sussman
, Youngser Park
, Carey E. Priebe
, Vince Lyzinski:
Matched Filters for Noisy Induced Subgraph Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2887-2900 (2020) - [j78]Heather G. Patsolic
, Youngser Park, Vince Lyzinski, Carey E. Priebe:
Vertex nomination via seeded graph matching. Stat. Anal. Data Min. 13(3): 229-244 (2020) - [j77]Cencheng Shen
, Li Chen, Yuexiao Dong
, Carey E. Priebe
:
Sparse Representation Classification Beyond ℓ1 Minimization and the Subspace Assumption. IEEE Trans. Inf. Theory 66(8): 5061-5071 (2020) - [c26]Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe:
Geodesic Forests. KDD 2020: 513-523 - [i38]Jesús Arroyo
, Carey E. Priebe, Vince Lyzinski:
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question. CoRR abs/2002.01648 (2020) - [i37]Michael W. Trosset, Mingyue Gao, Minh Tang, Carey E. Priebe:
Learning 1-Dimensional Submanifolds for Subsequent Inference on Random Dot Product Graphs. CoRR abs/2004.07348 (2020) - [i36]Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Christopher M. White, Carey E. Priebe:
A general approach to progressive intelligence. CoRR abs/2004.12908 (2020) - [i35]Keith D. Levin, Carey E. Priebe, Vince Lyzinski:
On the role of features in vertex nomination: Content and context together are better (sometimes). CoRR abs/2005.02151 (2020) - [i34]Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Christopher M. White, Carey E. Priebe:
Learning to rank via combining representations. CoRR abs/2005.10700 (2020) - [i33]Cong Mu, Angelo Mele, Lingxin Hao, Joshua Cape, Avanti Athreya, Carey E. Priebe:
On identifying unobserved heterogeneity in stochastic blockmodel graphs with vertex covariates. CoRR abs/2007.02156 (2020) - [i32]Carey E. Priebe, Cencheng Shen, Ningyuan Huang, Tianyi Chen:
A Simple Spectral Failure Mode for Graph Convolutional Networks. CoRR abs/2010.13152 (2020) - [i31]Runbing Zheng, Vince Lyzinski, Carey E. Priebe, Minh Tang:
Vertex nomination between graphs via spectral embedding and quadratic programming. CoRR abs/2010.14622 (2020) - [i30]Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe:
A partition-based similarity for classification distributions. CoRR abs/2011.06557 (2020)
2010 – 2019
- 2019
- [j76]Vince Lyzinski, Keith D. Levin, Carey E. Priebe:
On Consistent Vertex Nomination Schemes. J. Mach. Learn. Res. 20: 69:1-69:39 (2019) - [j75]Joshua Cape
, Minh Tang
, Carey E. Priebe:
On spectral embedding performance and elucidating network structure in stochastic blockmodel graphs. Netw. Sci. 7(3): 269-291 (2019) - [j74]Donniell E. Fishkind, Sancar Adali, Heather G. Patsolic
, Lingyao Meng
, Digvijay Singh, Vince Lyzinski, Carey E. Priebe:
Seeded graph matching. Pattern Recognit. 87: 203-215 (2019) - [j73]Donniell E. Fishkind, Lingyao Meng, Ao Sun, Carey E. Priebe, Vince Lyzinski:
Alignment strength and correlation for graphs. Pattern Recognit. Lett. 125: 295-302 (2019) - [j72]Runze Tang
, Michael D. Ketcha
, Alexandra Badea
, Evan D. Calabrese, Daniel S. Margulies
, Joshua T. Vogelstein, Carey E. Priebe, Daniel L. Sussman
:
Connectome Smoothing via Low-Rank Approximations. IEEE Trans. Medical Imaging 38(6): 1446-1456 (2019) - [c25]Konstantinos Pantazis, Daniel L. Sussman
, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. IEEE BigData 2019: 4921-4927 - [i29]Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
clusterNOR: A NUMA-Optimized Clustering Framework. CoRR abs/1902.09527 (2019) - [i28]Congyuan Yang, Carey E. Priebe, Youngser Park, David J. Marchette:
Simultaneous Dimensionality and Complexity Model Selection for Spectral Graph Clustering. CoRR abs/1904.02926 (2019) - [i27]Joshua Agterberg, Youngser Park, Jonathan Larson, Christopher M. White, Carey E. Priebe, Vince Lyzinski:
Vertex Nomination, Consistent Estimation, and Adversarial Modification. CoRR abs/1905.01776 (2019) - [i26]Cencheng Shen, Li Chen, Yuexiao Dong, Carey E. Priebe:
Sparse Representation Classification via Screening for Graphs. CoRR abs/1906.01601 (2019) - [i25]Hayden S. Helm, Joshua T. Vogelstein, Carey E. Priebe:
Vertex Classification on Weighted Networks. CoRR abs/1906.02881 (2019) - [i24]Jesús Arroyo
, Avanti Athreya, Joshua Cape, Guodong Chen, Carey E. Priebe, Joshua T. Vogelstein:
Inference for multiple heterogeneous networks with a common invariant subspace. CoRR abs/1906.10026 (2019) - [i23]Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein:
Geodesic Learning via Unsupervised Decision Forests. CoRR abs/1907.02844 (2019) - [i22]Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
Graphyti: A Semi-External Memory Graph Library for FlashGraph. CoRR abs/1907.03335 (2019) - [i21]Konstantinos Pantazis, Daniel L. Sussman, Youngser Park, Carey E. Priebe, Vince Lyzinski:
Multiplex graph matching matched filters. CoRR abs/1908.02572 (2019) - [i20]Keith D. Levin, Fred Roosta, Minh Tang, Michael W. Mahoney, Carey E. Priebe:
Limit theorems for out-of-sample extensions of the adjacency and Laplacian spectral embeddings. CoRR abs/1910.00423 (2019) - [i19]Ian Gallagher, Anna Bertiger, Carey E. Priebe, Patrick Rubin-Delanchy:
Spectral clustering in the weighted stochastic block model. CoRR abs/1910.05534 (2019) - [i18]Cencheng Shen, Carey E. Priebe, Joshua T. Vogelstein:
The Exact Equivalence of Independence Testing and Two-Sample Testing. CoRR abs/1910.08883 (2019) - 2018
- [c24]Keith D. Levin, Farbod Roosta-Khorasani, Michael W. Mahoney, Carey E. Priebe:
Out-of-sample extension of graph adjacency spectral embedding. ICML 2018: 2981-2990 - [c23]Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
:
FlashR: parallelize and scale R for machine learning using SSDs. PPOPP 2018: 183-194 - [i17]Daniel L. Sussman, Vince Lyzinski, Youngser Park, Carey E. Priebe:
Matched Filters for Noisy Induced Subgraph Detection. CoRR abs/1803.02423 (2018) - [i16]Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, John M. Conroy, Vince Lyzinski, Minh Tang, Avanti Athreya, Joshua Cape, Eric Bridgeford:
On a 'Two Truths' Phenomenon in Spectral Graph Clustering. CoRR abs/1808.07801 (2018) - [i15]Jesús Arroyo
, Daniel L. Sussman, Carey E. Priebe, Vince Lyzinski:
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks. CoRR abs/1812.10519 (2018) - 2017
- [j71]Avanti Athreya, Donniell E. Fishkind, Minh Tang, Carey E. Priebe, Youngser Park, Joshua T. Vogelstein, Keith D. Levin, Vince Lyzinski, Yichen Qin, Daniel L. Sussman:
Statistical Inference on Random Dot Product Graphs: a Survey. J. Mach. Learn. Res. 18: 226:1-226:92 (2017) - [j70]Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe:
Manifold matching using shortest-path distance and joint neighborhood selection. Pattern Recognit. Lett. 92: 41-48 (2017) - [j69]Vince Lyzinski, Minh Tang
, Avanti Athreya, Youngser Park
, Carey E. Priebe:
Community Detection and Classification in Hierarchical Stochastic Blockmodels. IEEE Trans. Netw. Sci. Eng. 4(1): 13-26 (2017) - [j68]Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
:
Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs. IEEE Trans. Parallel Distributed Syst. 28(5): 1470-1483 (2017) - [c22]Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
:
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. HPDC 2017: 67-78 - [c21]Keith D. Levin, Avanti Athreya, Minh Tang
, Vince Lyzinski, Carey E. Priebe:
A Central Limit Theorem for an Omnibus Embedding of Multiple Random Dot Product Graphs. ICDM Workshops 2017: 964-967 - [i14]Pierre-André G. Maugis, Carey E. Priebe, Sofia C. Olhede, Patrick J. Wolfe:
Statistical inference for network samples using subgraph counts. CoRR abs/1701.00505 (2017) - [i13]Shangsi Wang, Joshua T. Vogelstein, Carey E. Priebe:
Joint Embedding of Graphs. CoRR abs/1703.03862 (2017) - [i12]Patrick Rubin-Delanchy, Carey E. Priebe, Minh Tang, Joshua Cape:
A statistical interpretation of spectral embedding: the generalised random dot product graph. CoRR abs/1709.05506 (2017) - 2016
- [j67]Donniell E. Fishkind, Cencheng Shen, Youngser Park
, Carey E. Priebe:
On the Incommensurability Phenomenon. J. Classif. 33(2): 185-209 (2016) - [j66]Sancar Adali, Carey E. Priebe:
Fidelity-Commensurability Tradeoff in Joint Embedding of Disparate Dissimilarities. J. Classif. 33(3): 485-506 (2016) - [j65]Vince Lyzinski, Keith D. Levin, Donniell E. Fishkind, Carey E. Priebe:
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching. J. Mach. Learn. Res. 17: 179:1-179:34 (2016) - [j64]Vince Lyzinski, Donniell E. Fishkind, Marcelo Fiori
, Joshua T. Vogelstein, Carey E. Priebe, Guillermo Sapiro:
Graph Matching: Relax at Your Own Risk. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 60-73 (2016) - [j63]Li Chen, Cencheng Shen, Joshua T. Vogelstein, Carey E. Priebe:
Robust Vertex Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 578-590 (2016) - [j62]Nam H. Lee, Runze Tang, Carey E. Priebe, Michael A. Rosen:
A Model Selection Approach for Clustering a Multinomial Sequence with Non-Negative Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2345-2358 (2016) - [j61]William P. Megarry, Gabriel Cooney, Douglas C. Comer, Carey E. Priebe:
Posterior Probability Modeling and Image Classification for Archaeological Site Prospection: Building a Survey Efficacy Model for Identifying Neolithic Felsite Workshops in the Shetland Islands. Remote. Sens. 8(6): 529 (2016) - [i11]Da Zheng, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay:
An SSD-based eigensolver for spectral analysis on billion-node graphs. CoRR abs/1602.01421 (2016) - [i10]Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns:
Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture. CoRR abs/1602.02864 (2016) - [i9]Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns:
FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs. CoRR abs/1604.06414 (2016) - [i8]Disa Mhembere, Da Zheng, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns:
NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering. CoRR abs/1606.08905 (2016) - [i7]William M. Campbell, Lin Li, Charlie K. Dagli, Joel Acevedo-Aviles, K. Geyer, Joseph P. Campbell, Carey E. Priebe:
Cross-Domain Entity Resolution in Social Media. CoRR abs/1608.01386 (2016) - 2015
- [j60]Joshua T. Vogelstein, Carey E. Priebe:
Shuffled Graph Classification: Theory and Connectome Applications. J. Classif. 32(1): 3-20 (2015) - [j59]Ali Fuat Alkaya, Vural Aksakalli, Carey E. Priebe:
A penalty search algorithm for the obstacle neutralization problem. Comput. Oper. Res. 53: 165-175 (2015) - [j58]Michael A. Rosen, Aaron S. Dietz, Ting Yang, Carey E. Priebe, Peter J. Pronovost:
An integrative framework for sensor-based measurement of teamwork in healthcare. J. Am. Medical Informatics Assoc. 22(1): 11-18 (2015) - [j57]Vince Lyzinski, Daniel L. Sussman
, Donniell E. Fishkind, Henry Pao, Li Chen, Joshua T. Vogelstein, Youngser Park
, Carey E. Priebe:
Spectral clustering for divide-and-conquer graph matching. Parallel Comput. 47: 70-87 (2015) - [c20]Da Zheng, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay:
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. FAST 2015: 45-58 - 2014
- [j56]William R. Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael J. Pekala, Randal C. Burns
, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager:
An Automated Images-to-Graphs Framework for High Resolution Connectomics. Frontiers Neuroinformatics 9: 20 (2014) - [j55]Vince Lyzinski, Donniell E. Fishkind, Carey E. Priebe:
Seeded graph matching for correlated Erdös-Rényi graphs. J. Mach. Learn. Res. 15(1): 3513-3540 (2014) - [j54]Cencheng Shen, Ming Sun, Minh Tang
, Carey E. Priebe:
Generalized canonical correlation analysis for classification. J. Multivar. Anal. 130: 310-322 (2014) - [j53]Daniel L. Sussman
, Minh Tang
, Carey E. Priebe:
Consistent Latent Position Estimation and Vertex Classification for Random Dot Product Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 48-57 (2014) - [j52]Heng Wang, Minh Tang
, Youngser Park
, Carey E. Priebe:
Locality Statistics for Anomaly Detection in Time Series of Graphs. IEEE Trans. Signal Process. 62(3): 703-717 (2014) - [i6]William R. Gray Roncal, Dean Kleissas, Joshua T. Vogelstein, Priya Manavalan, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager:
An Automated Images-to-Graphs Pipeline for High Resolution Connectomics. CoRR abs/1411.6880 (2014) - [i5]Heng Wang, Da Zheng, Randal C. Burns, Carey E. Priebe:
Active Community Detection in Massive Graphs. CoRR abs/1412.8576 (2014) - 2013
- [j51]Youngser Park
, Carey E. Priebe, Abdou Youssef:
Anomaly Detection in Time Series of Graphs using Fusion of Graph Invariants. IEEE J. Sel. Top. Signal Process. 7(1): 67-75 (2013) - [j50]Nam H. Lee, Jordan Yoder, Minh Tang
, Carey E. Priebe:
On Latent Position Inference from Doubly Stochastic Messaging Activities. Multiscale Model. Simul. 11(3): 683-718 (2013) - [j49]Joshua T. Vogelstein
, William R. Gray Roncal, R. Jacob Vogelstein, Carey E. Priebe:
Graph Classification Using Signal-Subgraphs: Applications in Statistical Connectomics. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1539-1551 (2013) - [j48]Ming Sun, Carey E. Priebe, Minh Tang
:
Generalized canonical correlation analysis for disparate data fusion. Pattern Recognit. Lett. 34(2): 194-200 (2013) - [j47]Ming Sun, Carey E. Priebe:
Efficiency investigation of manifold matching for text document classification. Pattern Recognit. Lett. 34(11): 1263-1269 (2013) - [j46]Donniell E. Fishkind, Daniel L. Sussman
, Minh Tang
, Joshua T. Vogelstein
, Carey E. Priebe:
Consistent Adjacency-Spectral Partitioning for the Stochastic Block Model When the Model Parameters Are Unknown. SIAM J. Matrix Anal. Appl. 34(1): 23-39 (2013) - [j45]Minh Tang
, Youngser Park
, Nam H. Lee, Carey E. Priebe:
Attribute Fusion in a Latent Process Model for Time Series of Graphs. IEEE Trans. Signal Process. 61(7): 1721-1732 (2013) - [c19]Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman
, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns
:
Computing scalable multivariate glocal invariants of large (brain-) graphs. GlobalSIP 2013: 297-300 - [c18]Heng Wang, Minh Tang
, Carey E. Priebe, Youngser Park
:
Inference in time series of graphs using locality statistics. GlobalSIP 2013: 471-474 - [c17]Jianqiao Feng, Xiaoying Tang, Minh Tang
, Carey E. Priebe, Michael I. Miller:
Metric Space Structures for Computational Anatomy. MLMI 2013: 123-130 - [i4]Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns:
Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs. CoRR abs/1312.4318 (2013) - 2012
- [j44]Carey E. Priebe, Jeffrey L. Solka, David J. Marchette, Avory C. Bryant:
Quantitative Horizon Scanning for Mitigating Technological Surprise: Detecting the Potential for Collaboration at the Interface. Stat. Anal. Data Min. 5(3): 178-186 (2012) - [j43]Zhiliang Ma, David J. Marchette, Carey E. Priebe:
Fusion and inference from multiple data sources in a commensurate space. Stat. Anal. Data Min. 5(3): 187-193 (2012) - [c16]Ming Sun, Minh Tang
, Carey E. Priebe:
A Comparison of Graph Embedding Methods for Vertex Nomination. ICMLA (1) 2012: 398-403 - [c15]Chad M. Hawes, Carey E. Priebe:
A bootstrap interval estimator for Bayes' classification error. SSP 2012: 748-751 - [i3]Glen A. Coppersmith, Carey E. Priebe:
Vertex Nomination via Content and Context. CoRR abs/1201.4118 (2012) - [i2]Ming Sun, Carey E. Priebe, Minh Tang:
Generalized Canonical Correlation Analysis for Disparate Data Fusion. CoRR abs/1209.3761 (2012) - 2011
- [j42]Xugang Ye, Donniell E. Fishkind, Lowell Abrams, Carey E. Priebe:
Sensor information monotonicity in disambiguation protocols. J. Oper. Res. Soc. 62(1): 142-151 (2011) - [j41]Ting Yang, Carey E. Priebe:
The Effect of Model Misspecification on Semi-Supervised Classification. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 2093-2103 (2011) - [c14]Nash M. Borges, Glen A. Coppersmith, Gerard G. L. Meyer, Carey E. Priebe:
Anomaly detection for random graphs using distributions of vertex invariants. CISS 2011: 1-6 - [i1]