Generalized Low-Computational Cost Laplacian Eigenmaps

Conference Object

Abstract: Dimensionality reduction (DR) is a methodology used in many fields linked to data processing, and ma

Palabras claves:

Dimensionality reduction, Generalized methodology, Kernel approximations, Low-computational cost, multiple kernel learning, Spectral methods

Autores:

Basante C., Castellanos-Dominguez G., Cruz-Cruz L.D., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Ortega C., Peña D.F., Salazar-Castro J.A., Xiomara P. Blanco-Valencia

Fuentes:

scopus