82 citations · 99 across the 4 of their papers we have counts for
5 papers
Possibilistic Fuzzy Local Information C-Means with Automated Feature Selection for Seafloor Segmentation
Joshua Peeples, Daniel Suen, Alina Zare +1
The Possibilistic Fuzzy Local Information C-Means (PFLICM) method is presented as a technique to segment side-look synthetic aperture sonar (SAS) imagery into distinct regions of t…
StreamSoNG: A Soft Streaming Classification Approach
Wenlong Wu, James M. Keller, Jeffrey Dale +1
Examining most streaming clustering algorithms leads to the understanding that they are actually incremental classification models. They model existing and newly discovered structu…
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…
Cardiovascular function and ballistocardiogram: a relationship interpreted via mathematical modeling
Giovanna Guidoboni, Lorenzo Sala, Moein Enayati +7
Objective: to develop quantitative methods for the clinical interpretation of the ballistocardiogram (BCG). Methods: a closed-loop mathematical model of the cardiovascular system i…
Possibilistic Fuzzy Local Information C-Means for Sonar Image Segmentation
Alina Zare, Nicholas Young, Daniel Suen +3
Side-look synthetic aperture sonar (SAS) can produce very high quality images of the sea-floor. When viewing this imagery, a human observer can often easily identify various sea-fl…