Prior ensemble learning-Reference-Cited by-同舟云学术

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Prior ensemble learning

Published:2021-10-15 Issue:11 Volume:16 Page:1937-1945
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Kubota Nanako,Kasahara Yufu,Harada Ken,Fujimoto Koji,Okada Tomohisa,Inoue Masato^ORCID

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11548-021-02512-z.pdf

Reference30 articles.

1. Rudin LI, Osher S, Fatemi E (1992) Nonlinear total variation based noise removal algorithms. Phys D 60:259–268. https://doi.org/10.1016/0167-2789(92)90242-F

2. Aharon M, Elad M, Bruckstein A (2006) K-SVD: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Process 54:4311–4322. https://doi.org/10.1109/TSP.2006.881199

3. Breiman L (1996) Bagging predictors. Mach Learn 24:123–140. https://doi.org/10.1007/BF00058655

4. Jacobs RA, Jordan MI, Nowlan SJ, Hinton GE (1991) Adaptive mixtures of local experts. Neural Comput 3:79–87. https://doi.org/10.1162/neco.1991.3.1.79

5. Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182–1195. https://doi.org/10.1002/mrm.21391

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