Sahirzeeshan Ali

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sahirzeeshan Ali trusts overall

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

  1. David Ruppert
  2. Sam T. Roweis
  3. Ron Kohavi
  4. Mikhail Belkin

Papers from Sahirzeeshan Ali's perspective

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

  1. Nonlinear dimensionality reduction by locally linear embedding.
  2. A global geometric framework for nonlinear dimensionality reduction.
  3. Wrappers for Feature Subset Selection
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
  6. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
  7. A kernel view of the dimensionality reduction of manifolds (International Conference on Machine Learning)
  8. Normalized Mutual Information Feature Selection (IEEE Transactions on Neural Networks)
  9. Histopathological Image Analysis: A Review (IEEE Reviews in Biomedical Engineering)
  10. THE DISTRIBUTION OF THE FLORA IN THE ALPINE ZONE.1

Their papers