2 citations · 2 across the 2 of their papers we have counts for
2 papers
eess.SP2023
Advances in Self-Supervised Learning for Synthetic Aperture Sonar Data Processing, Classification, and Pattern Recognition
Brandon Sheffield, Frank E. Bobe, Bradley Marchand +1
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 chara…
cs.LG2016★ 2 cited
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks
Eder Santana, Matthew Emigh, Pablo Zegers +1
We propose a convolutional recurrent neural network, with Winner-Take-All dropout for high dimensional unsupervised feature learning in multi-dimensional time series. We apply the…