Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data

BACKGROUND: Dimensionality reduction (DR) enables the construction of a lower dimensional space (embedding) from a higher dimensional feature space while preserving object-class discriminability. However several popular DR approaches suffer from sensitivity to choice of parameters and/or presence of...

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Detalles Bibliográficos
Autores principales: Viswanath, Satish, Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395843/
https://www.ncbi.nlm.nih.gov/pubmed/22316103
http://dx.doi.org/10.1186/1471-2105-13-26

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395843/
https://www.ncbi.nlm.nih.gov/pubmed/22316103
http://dx.doi.org/10.1186/1471-2105-13-26

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