Automated Data-Driven Selection of the Hyperparameters for Total-Variation-Based Texture Segmentation

Author:

Pascal BarbaraORCID,Vaiter Samuel,Pustelnik Nelly,Abry Patrice

Funder

Institut National des Sciences de l’Univers, Centre National de la Recherche Scientifique

Agence Nationale de la Recherche

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Computer Vision and Pattern Recognition,Condensed Matter Physics,Modeling and Simulation,Statistics and Probability

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Full inference for the anisotropic fractional Brownian field;Theory of Probability and Mathematical Statistics;2024-05-10

2. A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially Varying Generalised Gaussian Models;Journal of Mathematical Imaging and Vision;2024-04-12

3. Spectral Total-variation Processing of Shapes—Theory and Applications;ACM Transactions on Graphics;2024-02-14

4. Hyperparameter selection for Discrete Mumford–Shah;Signal, Image and Video Processing;2022-12-16

5. Image Denoising Using the Hurst Exponent: A Fusion Based Approach;2022 International Symposium on Electronics and Telecommunications (ISETC);2022-11-10

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