Hau-Tieng Wu
Computer Vision and Pattern Recognition · with Singer · 2011
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it; #9,665 of 21,575 by trust here, #17,757 by citations
- Computational Theory and Mathematics — 9 citations into it; #4,685 of 12,182 by trust here, #7,851 by citations
- Computational Mechanics — 7 citations into it
- Artificial Intelligence — 6 citations into it
- Representation & Self-Supervised Learning — 6 citations into it
Whom Hau-Tieng Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mikhail Belkin
- Iain M. Johnstone
- David L. Donoho
- Sam T. Roweis
- Ronald R. Coifman
- Peter J. Bickel
- Partha Niyogi
- Amit Singer
- Lawrence K. Saul
- Elizaveta Levina
Who trusts Hau-Tieng Wu overall
Papers from Hau-Tieng Wu's perspective
Ordered by how strongly the researchers Hau-Tieng Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Nonlinear dimensionality reduction by locally linear embedding.
- Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
- Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
- Towards a theoretical foundation for Laplacian-based manifold methods
- From graph to manifold Laplacian: The convergence rate
- Convergence of Laplacian Eigenmaps (Neural Information Processing Systems)
- From Graphs to Manifolds - Weak and Strong Pointwise Consistency of Graph Laplacians (Annual Conference Computational Learning Theory)
- Diffusion maps
- Covariance regularization by thresholding
- On Consistency and Sparsity for Principal Components Analysis in High Dimensions (Journal of the American Statistical Association)
Their papers
- Vector Diffusion Maps and the Connection Laplacian (2011) — 341 citations