Tung-Lam Dao

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tung-Lam Dao trusts overall

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

  1. Ingrid Daubechies
  2. Robert Tibshirani
  3. William S. Cleveland
  4. Stéphane Mallat
  5. Robert Fildes
  6. Yuhai Wu
  7. Bernhard E. Boser
  8. Yoosoon Chang
  9. Seung-Jean Kim

Papers from Tung-Lam Dao's perspective

Ordered by how strongly the researchers Tung-Lam Dao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. A training algorithm for optimal margin classifiers
  3. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
  4. Ten Lectures on Wavelets
  5. Robust Locally Weighted Regression and Smoothing Scatterplots
  6. Statistical Learning Theory
  7. Empirical mode decomposition as a filter bank (IEEE Signal Processing Letters)
  8. The Making of "Estimation of Common Long-Memory Components in Cointegrated Systems"
  9. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  10. Spectral methods for nonstationary spatial processes

Their papers