no code implementations • 12 Aug 2023 • Brandon Sheffield, Frank E. Bobe III, Bradley Marchand, Matthew S. Emigh
Synthetic Aperture Sonar (SAS) imaging has become a crucial technology for underwater exploration because of its unique ability to maintain resolution at increasing ranges, a characteristic absent in conventional sonar techniques.
no code implementations • 10 Jan 2021 • Isaac J. Sledge, Matthew S. Emigh, Jonathan L. King, Denton L. Woods, J. Tory Cobb, Jose C. Principe
We show that our framework outperforms supervised, deep-saliency networks designed for natural imagery.
no code implementations • 1 Jan 2021 • Austin J. Brockmeier, Claudio Cesar Claros, Carlos H. Mendoza-Cardenas, Yüksel Karahan, Matthew S. Emigh, Luis Gonzalo Sanchez Giraldo
We propose the max-sliced Bures distance, a lower bound on the max-sliced Wasserstein-2 distance, to identify the instances associated with the maximum discrepancy between two samples.
no code implementations • 8 Nov 2019 • Chi Ding, Zheng Cao, Matthew S. Emigh, Jose C. Principe, Bing Ouyang, Anni Vuorenkoski, Fraser Dalgleish, Brian Ramos, Yanjun Li
To fully understand interactions between marine hydrokinetic (MHK) equipment and marine animals, a fast and effective monitoring system is required to capture relevant information whenever underwater animals appear.
no code implementations • 5 Feb 2018 • Isaac J. Sledge, Matthew S. Emigh, Jose C. Principe
The value of information yields a stochastic routine for choosing actions during learning that can explore the policy space in a coarse to fine manner.