Generalized Low-Computational Cost Laplacian Eigenmaps.

Jose Alejandro Salazar-Castro D. F. Peña-Unigarro Cielo K. Basante-Villota C. Ortega Lilian Dayana Cruz-Cruz Edgardo Javier Revelo-Fuelagán X. P. Blanco-Valencia Germán Castellanos-Domínguez Diego Hernán Peluffo-Ordóñez

Published in: IDEAL (1) (2018)

Keyphrases

laplacian eigenmaps
computational cost
manifold learning
kernel pca
nonlinear dimensionality reduction
computational complexity
dynamic time warping
graph laplacian
empirical mode decomposition
dimensionality reduction
euclidean space
face recognition
feature extraction
low dimensional
locally linear embedding