Schroedinger Eigenmaps for the analysis of biomedical data.
Where this comes from
- Record sourced from PubMed, PMID 23520264.
- Also identified by DOI 10.1109/TPAMI.2012.270.
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Abstract
We introduce Schroedinger Eigenmaps (SE), a new semi-supervised manifold learning and recovery technique. This method is based on an implementation of graph Schroedinger operators with appropriately constructed barrier potentials as carriers of labeled information. We use our approach for the analysis of standard biomedical datasets and new multispectral retinal images.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Data Mining
- Databases, Factual