Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
Our approach models label noise in semantic segmentation with a probabilistic framework that incorporates spatial correlations. By introducing a continuous latent ...
Abstract: Aiming at resolving the problem of low tracking accuracy for maneuvering extended targets in lidar systems, an interactive multimodel variational Bayes independent axis estimation ...