Improving geodesic distance estimation based on locally linear assumption-Reference-Cited by-同舟云学术

Improving geodesic distance estimation based on locally linear assumption

Published:2008-05 Issue:7 Volume:29 Page:862-870
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Meng Deyu,Leung Yee,Xu Zongben,Fung Tung,Zhang Qingfu

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference18 articles.

1. Exploiting manifold geometry in hyperspectral imagery;Bachmann;IEEE Transactions on Geoscience and Remote Sensing,2005

2. Bernstein, M., Silva, V., Langford, J.C., Tenenbaum, J.B., 2000. Graph approximations to geodesics on embedded manifolds. Preprint available at http://isomap.stanford.edu.

3. Convex Optimization;Boyd,2004

4. Proximity graphs for clustering and manifold learning;Carreira-Perpinan,2005

5. Frey, B., Colmenarez, A., Huang, T., 1998. Mixtures of local linear subspaces for face recognition. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition (CVPR’98), pp. 32–37.

Cited by 13 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. Microscopic image segmentation approach based on modified affinity propagation-based clustering;Multimedia Tools and Applications;2024-02-27

2. Affinity Propagation in Semi-Supervised Segmentation: A Biomedical Application;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024

3. A*-FastIsomap: An Improved Performance of Classical Isomap Based on A* Search Algorithm;Neural Processing Letters;2022-06-27

4. A*-FastIsomap: An Improved Performance of Classical Isomap Based on A* Search Algorithm;2022 5th International Conference on Artificial Intelligence and Big Data (ICAIBD);2022-05-27

5. Spectral convergence of graph Laplacian and heat kernel reconstruction in L∞ from random samples;Applied and Computational Harmonic Analysis;2021-11