SPORCO: A Python package for standard and convolutional sparse representations

Author:

Wohlberg Brendt

Publisher

SciPy

Cited by 19 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. Few-Shot Airway-Tree Modeling Using Data-Driven Sparse Priors;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

2. Compositional Factorization of Visual Scenes with Convolutional Sparse Coding and Resonator Networks;2024 Neuro Inspired Computational Elements Conference (NICE);2024-04-23

3. Enhancing Multi-view Mammography Image Classification: By using Breast Region Extraction Method and Statistical Features;2024 13th Iranian/3rd International Machine Vision and Image Processing Conference (MVIP);2024-03-06

4. Adaptive convolutional dictionary learning for denoising seismocardiogram to enhance the classification performance of aortic stenosis;Computers in Biology and Medicine;2024-01

5. Sparsity of higher-order landscape interactions enables learning and prediction for microbiomes;Proceedings of the National Academy of Sciences;2023-11-22

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