論文筆記：Discovering governing equations from data by sparse identification of nonlinear dynamical syste

時間 2021-01-12

標籤壓縮感知算法简体版

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論文筆記：Discovering governing equations from data by sparse identification of nonlinear dynamical systems 文獻信息研究內容結構原理實驗結果文獻信息 Autor：Steven L. Bruntona,1, Joshua L. Proctorb, and J. Nathan Kutzc From

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1. 論文筆記：Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
2. Numerical Optimization之Nonlinear Equations
3. 1504.ICCVPartial Person Re-Identification 論文筆記
4. Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Point of Interests
5. 1705.Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 論文閱讀筆記
6. 論文筆記：Nonlinear Dimensionality Reduction by Locally Linear Embedding
7. 【論文翻譯】：Nonlinear Dimensionality Reduction by Locally Linear Embedding
8. 【論文翻譯】Nonlinear Dimensionality Reduction by Locally Linear Embedding
9. 論文閱讀筆記（四十八）：3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
10. 論文筆記_Estimating Depth from RGB and Sparse Sensing

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