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Matthew S. Emigh
ORCID
Publication Activity (10 Years)
Years Active: 2012-2023
Publications (10 Years): 6
Top Topics
Total Reward
Temporal Structure
Supervised Learning
Markov Decision Processes
Top Venues
CoRR
IEEE Trans. Neural Networks Learn. Syst.
EMBC
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Publications
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Brandon Sheffield
,
Frank E. Bobe III
,
Bradley Marchand
,
Matthew S. Emigh
Advances in Self-Supervised Learning for Synthetic Aperture Sonar Data Processing, Classification, and Pattern Recognition.
CoRR
(2023)
Isaac J. Sledge
,
Matthew S. Emigh
,
Jonathan L. King
,
Denton L. Woods
,
J. Tory Cobb
,
José C. Príncipe
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders.
CoRR
(2021)
Chi Ding
,
Zheng Cao
,
Matthew S. Emigh
,
José C. Príncipe
,
Bing Ouyang
,
Anni K. Vuorenkoski
,
Fraser R. Dalgleish
,
Brian Ramos
,
Yanjun Li
Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image.
CoRR
(2019)
Eder Santana
,
Matthew S. Emigh
,
Pablo Zegers
,
José C. Príncipe
Exploiting Spatio-Temporal Structure With Recurrent Winner-Take-All Networks.
IEEE Trans. Neural Networks Learn. Syst.
29 (8) (2018)
Isaac J. Sledge
,
Matthew S. Emigh
,
José C. Príncipe
Guided Policy Exploration for Markov Decision Processes Using an Uncertainty-Based Value-of-Information Criterion.
IEEE Trans. Neural Networks Learn. Syst.
29 (6) (2018)
Isaac J. Sledge
,
Matthew S. Emigh
,
José C. Príncipe
Guided Policy Exploration for Markov Decision Processes using an Uncertainty-Based Value-of-Information Criterion.
CoRR
(2018)
Austin J. Brockmeier
,
Luis Gonzalo Sánchez Giraldo
,
Matthew S. Emigh
,
Jihye Bae
,
John S. Choi
,
Joseph T. Francis
,
José C. Príncipe
Information-theoretic metric learning: 2-D linear projections of neural data for visualization.
EMBC
(2013)
Austin J. Brockmeier
,
John S. Choi
,
Matthew S. Emigh
,
Lin Li
,
Joseph T. Francis
,
José C. Príncipe
Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex.
EMBC
(2012)