Ai-Ling Hsu

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ai-Ling Hsu trusts overall

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

  1. John Ashburner
  2. Radford M. Neal
  3. Vladimir Naumovich Vapni
  4. Vladimir Naumovich Vapnik
  5. Chih-Jen Lin
  6. Aixia Guo
  7. R. Craddock

Papers from Ai-Ling Hsu's perspective

Ordered by how strongly the researchers Ai-Ling Hsu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Nature of Statistical Learning Theory
  2. Pattern Recognition and Machine Learning
  3. Regression Shrinkage and Selection via the Lasso
  4. Addendum: Regularization and variable selection via the elastic net
  5. Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data
  6. A fast diffeomorphic image registration algorithm (NeuroImage)
  7. Automatic classification of MR scans in Alzheimer’s disease
  8. Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns
  9. LIBSVM: A library for support vector machines
  10. Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging (NeuroImage)

Their papers