Reconstruction errors of the five algorithms with different numbers of projection vectors.

Reconstruction errors of the five algorithms with different numbers of projection vectors.

<p>The parameters are set to the optimal ones for each algorithm.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jing Wang (6206297) (author)
مؤلفون آخرون:	Xiao Xie (133080) (author), Li Zhang (8200) (author), Jian Li (41607) (author), Hao Cai (1324782) (author), Yan Feng (128912) (author)
منشور في:	2025
الموضوعات:	Cell Biology Molecular Biology Science Policy Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified spatial structure information preserving spatial relationships made publicly available locally optimal solution experimental results demonstrate conducted comprehensive experiments smooth constraints influence div >< p feature extraction process rsspca optimization problem recognition </ p smooth constraint rsspca </ norm optimization iterative process feature selection source code rsspca ). recognition performance proposed algorithm github repository face reconstruction
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

Reconstruction errors of PCA and PCA-L1 with different numbers of projection vectors.
حسب: Jing Wang (6206297)
منشور في: (2025)

The lowest reconstruction errors and optimal parameters of the five algorithms.
حسب: Jing Wang (6206297)
منشور في: (2025)

The reconstruction error and classification accuracy of the five algorithms on the six face databases.
حسب: Jing Wang (6206297)
منشور في: (2025)

Reconstruction errors of RSSPCA with different and values.
حسب: Jing Wang (6206297)
منشور في: (2025)

Reconstruction errors of RSMPCA with different values.
حسب: Jing Wang (6206297)
منشور في: (2025)

Reconstruction errors of RSPCA with different values.
حسب: Jing Wang (6206297)
منشور في: (2025)

Average classification accuracies of PCA with different numbers of projection vectors.
حسب: Jing Wang (6206297)
منشور في: (2025)

Average classification accuracies of PCA-L1 with different numbers of projection vectors.
حسب: Jing Wang (6206297)
منشور في: (2025)

The impact of the three factors on reconstruction and classification performance.
حسب: Jing Wang (6206297)
منشور في: (2025)

The highest classification accuracies and optimal parameters of the five algorithms.
حسب: Jing Wang (6206297)
منشور في: (2025)

Average classification accuracies of RSSPCA with different and values.
حسب: Jing Wang (6206297)
منشور في: (2025)

Average classification accuracies of RSMPCA with different values.
حسب: Jing Wang (6206297)
منشور في: (2025)

Average classification accuracies of RSPCA with different values.
حسب: Jing Wang (6206297)
منشور في: (2025)

The flowchart of the experiments.
حسب: Jing Wang (6206297)
منشور في: (2025)

An illustration of the adjacency matrix, degree matrix, and Laplacian matrix.
حسب: Jing Wang (6206297)
منشور في: (2025)

An illustration of the coordinates of two pixels in an image.
حسب: Jing Wang (6206297)
منشور في: (2025)

errors and convergence orders with varying step sizes of the Besse Relaxation Difference Scheme (temporal grid number and spatial grid number fixed).
حسب: Xinya Peng (9580745)
منشور في: (2025)

errors and convergence orders with varying step sizes of the Besse Relaxation Compact Difference Scheme (temporal grid number and spatial grid number fixed).
حسب: Xinya Peng (9580745)
منشور في: (2025)

Maximum errors and convergence orders with varying step sizes of the Besse Relaxation Difference Scheme (temporal grid number and spatial grid number fixed).
حسب: Xinya Peng (9580745)
منشور في: (2025)

Maximum errors and convergence orders with varying step sizes of the Besse Relaxation Compact Difference Scheme (temporal grid number and spatial grid number fixed).
حسب: Xinya Peng (9580745)
منشور في: (2025)

Maximum errors and convergence orders with varying step sizes of the Besse Relaxation Difference Scheme — Example 3 (temporal grid number <i>N</i> = 4096 and spatial grid number <i>J</i> = 1024 fixed).
حسب: Xinya Peng (9580745)
منشور في: (2025)

Maximum errors and convergence orders with varying step sizes of the Besse Relaxation Compact Difference Scheme — Example 3 (temporal grid number <i>N</i> = 4096 and spatial grid number <i>J</i> = 1024 fixed).
حسب: Xinya Peng (9580745)
منشور في: (2025)

CPU time comparison for different methods of the Besse Relaxation Compact Difference Scheme (temporal grid number <i>N</i> = 4096 and spatial grid number <i>J</i> = 1024 fixed).
حسب: Xinya Peng (9580745)
منشور في: (2025)

CPU time comparison for different methods of the Besse Relaxation Difference Scheme (temporal grid number <i>N</i> = 4096 and spatial grid number <i>J</i> = 1024 fixed).
حسب: Xinya Peng (9580745)
منشور في: (2025)

Illustrates the temporal convergence order (left) and spatial convergence order (right) of Besse relaxation compact difference scheme at = 0.25, 0.50, and 0.75.
حسب: Xinya Peng (9580745)
منشور في: (2025)

Illustrates the temporal convergence order (left) and spatial convergence order (right) of Besse relaxation compact difference scheme at = 0.25, 0.50, and 0.75.
حسب: Xinya Peng (9580745)
منشور في: (2025)

Illustrates the spatial convergence order (left) and temporal convergence order (right) of Besse relaxation compact difference scheme at = 0.25, 0.50, and 0.75.
حسب: Xinya Peng (9580745)
منشور في: (2025)

Illustrates the spatial convergence order (left) and temporal convergence order (right) of Besse 358 relaxation compact difference scheme at , 0.50, and 0.75.
حسب: Xinya Peng (9580745)
منشور في: (2025)

Illustrates the temporal convergence order (left) and spatial convergence order (right) of the Besse relaxation difference scheme at = 0.25, 0.50, and 0.75.
حسب: Xinya Peng (9580745)
منشور في: (2025)

Illustrates the temporal convergence order (left) and spatial convergence order (right) of the Besse relaxation difference scheme at = 0.25, 0.50, and 0.75.
حسب: Xinya Peng (9580745)
منشور في: (2025)

Illustrates the spatial convergence order (left) and temporal convergence order (right) of the Besse relaxation difference scheme at = 0.25, 0.50, and 0.75.
حسب: Xinya Peng (9580745)
منشور في: (2025)

Illustrates the spatial convergence order (left) and temporal convergence order (right) of the Besse relaxation difference scheme at , 0.50, and 0.75.
حسب: Xinya Peng (9580745)
منشور في: (2025)

Convergence curves of NFRFS on different datasets.
حسب: Wei Liu (20030)
منشور في: (2025)

Representative images of the ORL face dataset with noise block.
حسب: Wei Liu (20030)
منشور في: (2025)

NMI of NFRFS with different values of <i>p</i> on different datasets.
حسب: Wei Liu (20030)
منشور في: (2025)

ACC of NFRFS with different values of <i>p</i> on different datasets.
حسب: Wei Liu (20030)
منشور في: (2025)

NMI of NFRFS with different values of <i>β</i> on different datasets.
حسب: Wei Liu (20030)
منشور في: (2025)

ACC of NFRFS with different values of <i>β</i> on different datasets.
حسب: Wei Liu (20030)
منشور في: (2025)

NMI of NFRFS with different values of <i>α</i> on different datasets.
حسب: Wei Liu (20030)
منشور في: (2025)

ACC of NFRFS with different values of <i>α</i> on different datasets.
حسب: Wei Liu (20030)
منشور في: (2025)

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