82 citations · 84 across the 2 of their papers we have counts for
3 papers
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…
Fusion of heterogeneous bands and kernels in hyperspectral image processing
Muhammad Aminul Islam, Derek T. Anderson, John E. Ball +1
Hyperspectral imaging is a powerful technology that is plagued by large dimensionality. Herein, we explore a way to combat that hindrance via non-contiguous and contiguous (simpler…
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…