Martin Stetter

2005

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

Whom Martin Stetter trusts

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

  1. Vladimir Naumovich Vapni (in Artificial Intelligence)
  2. Alex Smola (in Artificial Intelligence)
  3. Bernhard Schölkopf (in Artificial Intelligence)

Who trusts Martin Stetter

  1. Christos Davatzikos (in Cognitive Neuroscience)
  2. Russell A. Poldrack (in Cognitive Neuroscience)
  3. Bilwaj Gaonkar (in Cognitive Neuroscience)

Papers from Martin Stetter's perspective

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

  1. The Nature of Statistical Learning Theory
  2. An Information-Maximization Approach to Blind Separation and Blind Deconvolution
  3. A training algorithm for optimal margin classifiers
  4. Spatial pattern analysis of functional brain images using partial least squares.
  5. Statistical parametric maps in functional imaging: A general linear approach
  6. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  7. Characterizing dynamic brain responses with fMRI: a multivariate approach.
  8. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex (NeuroImage)
  9. Learning to Decode Cognitive States from Brain Images
  10. A Morphable Model For The Synthesis Of 3D Faces

Their papers