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• W146892307 abstract "One of main issues in point matching is the choice of the mapping function and the compu- tation of its optimal hyperparameters. In this paper, we propose an attractive approach to determine the mapping function based on Gaussian processes (GPs) model. The mapping function is assumed to belong to a GPs model specified by a mean and a covariance function. Meanwhile, hyperparameters optimization of mapping function is replaced by adaptation of GP model. Experiments show that the algorithm has ef- ficient mapping capability and practical implementa- tion in both synthetic and real cases." @default.
• W146892307 created "2016-06-24" @default.
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• W146892307 date "2007-01-01" @default.
• W146892307 modified "2023-09-23" @default.
• W146892307 title "Transformation Model Estimation for Point Matching Via Gaussian Processes" @default.
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