Ali E. Haddad

2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ali E. Haddad trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronald R. Coifman
2. Amit Singer
3. Stéphane Lafon
4. Boaz Nadler

Papers from Ali E. Haddad's perspective

Ordered by how strongly the researchers Ali E. Haddad trusts endorse each paper. Same corpus, a different order for every researcher.

1. On the distribution of the largest eigenvalue in principal components analysis
2. Theory of Reproducing Kernels.
3. Diffusion maps
4. Finite sample approximation results for principal component analysis: a matrix perturbation approach
5. Geometric harmonics: A novel tool for multiscale out-of-sample extension of empirical functions
6. Regularization (Encyclopedia of Machine Learning)
7. Non-linear independent component analysis with diffusion maps
8. Data Fusion and Multicue Data Matching by Diffusion Maps
9. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
10. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

Their papers

• Anisotropic diffusion on sub-manifolds with application to Earth structure classification (2012) — 68 citations