Fuzzy Integral = Contextual Linear Order Statistic

no code implementations • 6 Jul 2020 • Derek Anderson, Matthew Deardorff, Timothy Havens, Siva Kakula, Timothy Wilkin, Muhammad Islam, Anthony Pinar, Andrew Buck

The fuzzy integral is a powerful parametric nonlin-ear function with utility in a wide range of applications, from information fusion to classification, regression, decision making, interpolation, metrics, morphology, and beyond.

Clustering Decision Making +1

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks

no code implementations • 4 Dec 2019 • Muhammad Aminul Islam, Bryce Murray, Andrew Buck, Derek T. Anderson, Grant Scott, Mihail Popescu, James Keller

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.