Abstract:Synthetic data is often leveraged for training and testing Automatic Target Recognition (ATR) systems on a variety of operating conditions (OCs). Existing mechanisms for creating the sampling distribution of OCs to generate this data are difficult to visualize, modify, and extend. To address this, we created a user interface and toolchain for multi-modal OC sampling from probabilistic graphical models (PGMs). Our web browserbased interface allows for visualizing the PGMs, modifying the conditional probability … Show more
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