Dictionary Learning for Two-Dimensional Kendall Shapes-Reference-Cited by-同舟云学术

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Dictionary Learning for Two-Dimensional Kendall Shapes

Published:2020-01 Issue:1 Volume:13 Page:141-175
ISSN:1936-4954
Container-title:SIAM Journal on Imaging Sciences
language:en
Short-container-title:SIAM J. Imaging Sci.

Author:

Song Anna^ORCID,Uhlmann Virginie,Fageot Julien,Unser Michael

Funder

Ecole Polytechnique Federale de Lausanne

Swiss National Science Foundation

European Molecular Biology Laboratory

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Link

https://epubs.siam.org/doi/pdf/10.1137/19M126044X

Reference36 articles.

1. Morphometric Analysis of Cranial Shape in Fossil and Recent Euprimates

2. B-spline snakes: a flexible tool for parametric contour detection

3. Strategies for automated analysis of C. elegans locomotion

4. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

5. Forward sequential algorithms for best basis selection

Cited by 3 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. Splinedist: Automated Cell Segmentation With Spline Curves;2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI);2021-04-13

2. MDPL-net: Multi-layer Dictionary Learning Network with Added Skip Dense Connections;2020 IEEE International Conference on Data Mining (ICDM);2020-11

3. SplineDist: Automated Cell Segmentation With Spline Curves;2020-10-28

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