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Erin E. Tripp

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affiliation: Air Force Research Laboratory Information Directorate, Rome, NY, USA

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2020 – today

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2024
[j6]
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Bowen Li, Suya Wu, Erin E. Tripp, Ali Pezeshki, Vahid Tarokh:
Recursive Least Squares With Minimax Concave Penalty Regularization for Adaptive System Identification. IEEE Access 12: 66993-67004 (2024)
2023
[j5]
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  - journals/icl/WheelerTN23
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Dylan Wheeler, Erin E. Tripp, Balasubramaniam Natarajan:
Semantic Communication With Conceptual Spaces. IEEE Commun. Lett. 27(2): 532-535 (2023)
2022
[j4]
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Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. J. Mach. Learn. Res. 23: 163:1-163:77 (2022)
[j3]
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Ashley Prater-Bennette, Lixin Shen, Erin E. Tripp:
The Proximity Operator of the Log-Sum Penalty. J. Sci. Comput. 93(2): 67 (2022)
[c2]
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Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion. AISTATS 2022: 2607-2617
2021
[j2]
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  - journals/staeors/InkawhichIDMTCC21
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Nathan Inkawhich, Matthew Inkawhich, Eric K. Davis, Uttam K. Majumder, Erin E. Tripp, Chris Capraro, Yiran Chen:
Bridging a Gap in SAR-ATR: Training on Fully Synthetic and Testing on Measured Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2942-2955 (2021)
[i1]
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  - journals/corr/abs-2104-14526
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Tian Tong, Cong Ma, Ashley Prater-Bennette, Erin E. Tripp, Yuejie Chi:
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements. CoRR abs/2104.14526 (2021)

2010 – 2019

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2019
[j1]
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Lixin Shen, Bruce W. Suter, Erin E. Tripp:
Structured Sparsity Promoting Functions. J. Optim. Theory Appl. 183(2): 386-421 (2019)
2015
[c1]
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Mark Leggott, Erin E. Tripp:
Mind the Gap: Bridging Digital Libraries & Archives. iPRES 2015

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