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Semisupervised alignment of manifolds (2004)  (Make Corrections)  (3 citations)
Jihun Ham Systems Engineering, University of Pennsylvania, Daniel D. Lee...



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Abstract: In this paper, we study a family of semisupervised learning algorithms for "aligning" di#erent data sets that are characterized by the same underlying manifold. The optimizations of these algorithms are based on graphs that provide a discretized approximation to the manifold. Partial alignments of the data sets---obtained from prior knowledge of their manifold structure or from pairwise correspondences of subsets of labeled examples--- are completed by integrating supervised signals... (Update)

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BibTeX entry:   (Update)

J. Ham, D. Lee, and L. Saul. Semisupervised alignment of manifolds. In AISTATS, 2004. http://citeseer.ist.psu.edu/ham04semisupervised.html   More

@misc{ ham04semisupervised,
  author = "J. Ham and D. Lee and L. Saul",
  title = "Semisupervised alignment of manifolds",
  text = "J. Ham, D. Lee, and L. Saul. Semisupervised alignment of manifolds. In
    AISTATS, 2004.",
  year = "2004",
  url = "citeseer.ist.psu.edu/ham04semisupervised.html" }
Citations (may not include all citations):
238   Nonnegative Matrices in the Mathematical Science (context) - Berman, Plemmons - 1996
113   Reversible Markov chains and random walks on graphs (context) - Aldous, Fill - 2002
68   The electrical resistance of a graph captures its commute an.. - Chandra, Raghavan et al. - 1989
31   Laplacian eigenmaps for dimensionality reduction and data re.. - Belkin, Niyogi - 2003
27   Charting a manifold - Brand - 2003
1   Regularization and regression on large graphs (context) - Belkin, Matveeva et al. - 2004

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