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Procrustes Alignment with the EM Algorithm
1999This paper casts the problem of point-set alignment via Procrustes analysis into a maximum likelihood framework using the EM algorithm. The aim is to improve the robustness of the Procrustes alignment to noise and clutter. By constructing a Gaussian mixture model over the missing correspondences between individual points, we show how alignment can be ...
Bin Luo 0001, Edwin R. Hancock
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PID-based search algorithm: A novel metaheuristic algorithm based on PID algorithm
Expert Systems With Applications, 2023Yuansheng Gao
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The Whale Optimization Algorithm
Advances in Engineering Software, 2016Seyedali Mirjalili, Andrew Lewis
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An efficient k-means clustering algorithm: analysis and implementation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002T Kanungo, N S Netanyahu
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A Comprehensive Review of the Fireworks Algorithm
ACM Computing Surveys, 2020Junzhi Li, Ying Tan
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On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing Journal, 2008Dervis Karaboga
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1977A P Dempster, Donald B Rubin
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Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
Advances in Engineering Software, 2017Seyedali Mirjalili +2 more
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