Dimensionality Reduction by Supervised Neighbor Embedding Using Laplacian Search

Dimensionality reduction is an important issue for numerous applications including biomedical images analysis and living system analysis. Neighbor embedding, those representing the global and local structure as well as dealing with multiple manifolds, such as the elastic embedding techniques, can go...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Jianwei, Zhang, Hangke, Cattani, Carlo, Wang, Wanliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055433/
https://www.ncbi.nlm.nih.gov/pubmed/24963339
http://dx.doi.org/10.1155/2014/594379

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055433/
https://www.ncbi.nlm.nih.gov/pubmed/24963339
http://dx.doi.org/10.1155/2014/594379

Ejemplares similares