82 citations · 88 across the 3 of their papers we have counts for
4 papers
Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks
Alan B. Cannaday, Curt H. Davis, Grant J. Scott +2
Here we demonstrate how Deep Neural Network (DNN) detections of multiple constitutive or component objects that are part of a larger, more complex, and encompassing feature can be…
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks
Muhammad Aminul Islam, Bryce Murray, Andrew Buck +4
While most deep learning architectures are built on convolution, alternative foundations like morphology are being explored for purposes like interpretability and its connection to…
Recognizing Image Objects by Relational Analysis Using Heterogeneous Superpixels and Deep Convolutional Features
Alex Yang, Charlie T. Veal, Derek T. Anderson +1
Superpixel-based methodologies have become increasingly popular in computer vision, especially when the computation is too expensive in time or memory to perform with a large numbe…
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Muhammad Aminul Islam, Derek T. Anderson, Anthony J. Pinar +3
Information fusion is an essential part of numerous engineering systems and biological functions, e.g., human cognition. Fusion occurs at many levels, ranging from the low-level co…