1. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
2. Semi-supervised learning of heterogeneous data in remote sensing imagery;Benedetto,2012
3. Schroedinger Eigenmaps for the Analysis of Biomedical Data
4. Schroedinger eigenmaps with nondiagonal potentials for spatial-spectral clustering of hyperspectral imagery;Cahill,2014
5. Out-of-sample extensions for LLE, ISOMAP, MDS, eigenmaps, and spectral clustering;Bengio,2004