Author:
Valencia-Aguirre Juliana,Álvarez-Meza Andrés,Daza-Santacoloma Genaro,Acosta-Medina Carlos,Castellanos-Domínguez César Germán
Publisher
Springer Berlin Heidelberg
Reference7 articles.
1. Torki, M., Elgammal, A., Lee, C.S.: Learning a joint manifold representation from multiple data sets. In: ICPR, pp. 1068–1071 (2010)
2. Belkin, M., Niyogi, P.: Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15(6) (2003)
3. Liu, X., Lu, H., Li, W.: Multi-manifold modeling for head pose estimation. In: 17th IEEE International Conference on Image Processing, ICIP, pp. 3277–3280 (2010)
4. Ham, J.H., Lee, D.D., Saul, L.K.: Learning high dimensional correspondences from low dimensional manifolds. In: Workshop on The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, pp. 34–41 (2003)
5. Belkin, M., Niyogi, P.: Laplacian eigenmaps and spectral techniques for embedding and clustering. In: NIPS, pp. 585–591 (2001)
Cited by
7 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