High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms

Seyed Jalaleddin Mousavirad, Gerald Schaefer, Zahra Movahedi, Iakov Korovin. High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms. In Carlos Artemio Coello Coello, editor, GECCO '20: Genetic and Evolutionary Computation Conference, CancĂșn, Mexico, July 8-12, 2020. pages 1608-1613, ACM, 2020. [doi]

Abstract

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