26 citations · 50 across the 2 of their papers we have counts for
4 papers
Bridging the Gap: Simultaneous Fine Tuning for Data Re-Balancing
John McKay, Isaac Gerg, Vishal Monga
There are many real-world classification problems wherein the issue of data imbalance (the case when a data set contains substantially more samples for one/many classes than the re…
Fast Stochastic Hierarchical Bayesian MAP for Tomographic Imaging
John McKay, Raghu G. Raj, Vishal Monga
Any image recovery algorithm attempts to achieve the highest quality reconstruction in a timely manner. The former can be achieved in several ways, among which are by incorporating…
What's Mine is Yours: Pretrained CNNs for Limited Training Sonar ATR
John McKay, Isaac Gerg, Vishal Monga +1
Finding mines in Sonar imagery is a significant problem with a great deal of relevance for seafaring military and commercial endeavors. Unfortunately, the lack of enormous Sonar im…
Robust Sonar ATR Through Bayesian Pose Corrected Sparse Classification
John McKay, Vishal Monga, Raghu G. Raj
Sonar imaging has seen vast improvements over the last few decades due in part to advances in synthetic aperture Sonar (SAS). Sophisticated classification techniques can now be use…