Parallel tempering strategies for model-based landmark detection on shapes
Author:
Affiliation:
1. Department of Statistics, University of Georgia, Athens, Georgia, USA;
2. Department of Statistics, The Ohio State University, Columbus, Ohio, USA
Publisher
Informa UK Limited
Subject
Modelling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2019.1670843
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4. Elastic shapes models for improving segmentation of object boundaries in synthetic aperture sonar images
5. Automatic X-ray landmark detection and shape segmentation via data-driven joint estimation of image displacements
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