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

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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, Cancún, Mexico, July 8-12, 2020. pages 1608-1613, ACM, 2020. [doi]

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