Graph Regularization Methods in Soft Detector Fusion

Graph Regularization Methods in Soft Detector Fusion

This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of multiple detectors (two-class classifiers). The proposed approach considers linear combination of the individual detector statistics and its extension to a general nonlinea...

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Bibliographic Details
Main Authors: Addisson Salazar, Gonzalo Safont, Luis Vergara, Enrique Vidal
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Graph regularization
detector fusion
alpha integration
graph signal processing
electroencephalographic signal processing
ultrasounds
Online Access:https://ieeexplore.ieee.org/document/10366262/

Internet

https://ieeexplore.ieee.org/document/10366262/

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