Local linear Laplacian eigenmaps: A direct extension of LLE.
Feng LiuWeijie ZhangSuicheng GuPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- laplacian eigenmaps
- locally linear embedding
- low dimensional
- manifold learning
- nonlinear dimensionality reduction
- kernel pca
- dimensionality reduction
- high dimensional
- high dimensional data
- discriminant analysis
- principal component analysis
- graph laplacian
- dimensionality reduction methods
- dynamic time warping
- empirical mode decomposition
- maximum variance unfolding
- euclidean space
- feature extraction
- dimension reduction
- data points
- subspace learning
- dimensional data
- face recognition
- manifold structure
- metric learning
- support vector regression
- spectral analysis
- euclidean distance
- non stationary
- feature space
- similarity measure