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Found 3 papers, 1 papers with code
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks
While most deep learning architectures are built on convolution, alternative foundations like morphology are being explored for purposes like interpretability and its connection to the analysis and processing of geometric structures.
Fusion of heterogeneous bands and kernels in hyperspectral image processing
Our approach is different in the respect that it is flexible and it follows a well-studied process of visual clustering in high-dimensional spaces.
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural Networks
Information fusion is an essential part of numerous engineering systems and biological functions, e. g., human cognition.
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